Books by Subject

all 244 titles

Medical Informatics

  • 2015 Springer
    Dongqing Wei, Qin Xu, Tangzhen Zhao, Hao Dai, editors.
    This text examines in detail mathematical and physical modeling, computational methods and systems for obtaining and analyzing biological structures, using pioneering research cases as examples. As such, it emphasizes programming and problem-solving skills. It provides information on structure bioinformatics at various levels, with individual chapters covering introductory to advanced aspects, from fundamental methods and guidelines on acquiring and analyzing genomics and proteomics sequences, the structures of protein, DNA and RNA, to the basics of physical simulations and methods for conformation searches. This book will be of immense value to researchers and students in the fields of bioinformatics, computational biology and chemistry. Dr. Dongqing Wei is a Professor at the Department of Bioinformatics and Biostatistics, College of Life Science and Biotechnology, Shanghai Jiaotong University, Shanghai, China. His research interest is in the general area of structural bioinformatics.
    Also available: Print – 2015
  • 2007 Springer
    Petra Perner, Ovidio Salvetti (eds.).
  • 2007 Springer
    Peter Lucas, José A. Gámez, Antonio Salmerón, eds.
  • 2008 Springer
    edited by Roberta Annicchiarico, Ulises Cortés, Cristina Urdiales, editors.
  • 2016 Springer
    edited by Xiangdong Wang, Christian Baumgartner, Denis C. Shields, Hong-Wen Deng, Jacques S Beckmann.
    The Era of Big Data: From Data-driven Research to Data-driven Clinical Care -- Biostatistics, data mining and computational modeling -- Gene expression and profiling -- The next generation sequencing and applications in clinical research -- Clinical epigenetics and epigenomics -- Proteomic profiling: Data mining and analyses -- Targeted metabolomics: the next generation of clinical chemistry!? -- Clinical bioinformatics for biomarker discovery in targeted metabolomics -- Metagenomic Profiling, Interaction of Genomics with Meta-genomics -- Clinical Epigenetics and Epigenomics -- Integrative Biological Databases -- Standards and Regulations for (Bio)Medical Software -- Clinical applications and systems biomedicine -- Key Law and Policy Considerations for Clinical Bioinformaticians -- Challenges and Opportunities in Clinical Bioinformatics -- Heterogeneity of Hepatocellular Carcinoma.
  • 2013 CRCnetBASE
    Geoff Der, Brian S. Everitt.
    "Adding topics useful to medical statisticians, this new edition of a popular intermediate-level reference explores the use of SAS for analyzing medical data. A new chapter on visualizing data includes a detailed account of graphics for investigating data and smoothing techniques. The book also includes new chapters on measurement in medicine, epidemiology/observational studies, meta-analysis, Bayesian methods, and handling missing data. The book maintains its example-based approach, with SAS code and output included throughout and available online"--Provided by publisher.
  • 2008 CRCnetBASE
    Deyi Li and Yi Du.
  • 2008 WHO
    Health Metrics Network.
    This assessment tool describes in detail how to undertake a first baseline assessment of a national HIS. The assessment process is intended to be both catalytic and synergistic. It should move stakeholders towards a shared and broader vision of a more coherent, integrated, efficient and useful system. The gap between the existing system and this new vision will be an important stimulus for moving to the next stage of planning national HIS reform. Such an assessment process can also be a mechanism for directly engaging stakeholders and for reinforcing broad-based consensus-building.--Publisher's description.
    Also available: Print – 2008
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    2007 CRCnetBASE
    Brian D. Bissett.
  • 2010 CRCnetBASE
    Hojjat Adeli, Samanwoy Ghosh-Dastidar ; in corroboration with Nahid Dadmehr.
    Time-frequency analysis : wavelet transforms -- Chaos theory -- Classifier designs -- Electroencephalograms and epilepsy -- Analysis of EEGs in an epileptic patient using wavelet transform -- Wavelet-chaos methodology for analysis of EEGs and EEG sub-bands -- Mixed-band wavelet-chaos neural network methodology -- Principal component analysis-enhanced cosine radial basis function neural network -- Alzheimer's disease and models of computation : imaging, classification, and neural models -- Alzheimer's disease : models of computation and analysis of EEGs -- A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer's disease -- Spiking neural networks : spiking neurons and learning algorithms -- Improved spiking neural networks with application to EEG classification and epilepsy and seizure detection -- A new supervised learning algorithm for multiple spiking neural networks -- Applications of multiple spiking neural networks : EEG classification and epilepsy and seizure detection.
  • 2012 Springer Protocols
    edited by Richard S. Larson, the University of New Mexio, Albuqerque, NM, USA.
    Cell perturbation screens for target identification by RNAi / Kubilay Demir and Michael Boutros -- Using functional genomics to identify drug targets : a Dupuytren's disease example / Mirela Sedic, Sandra Kraljevic Pavelic, and Karlo Hock -- Functional characterization of human genes from exon expression and RNA interference results / Dorothea Emig [and others] -- Barcode sequencing for understanding drug-gene interactions / Andrew M. Smith [and others] -- High-throughput sequencing of the methylome using two-base encoding / Christina A. Bormann Chung -- Applications and limitations of in silico models in drug discovery / Ahmet Sacan, Sean Ekins, and Sandhya Kortagere -- Compound Collection Preparation for Virtual screening / Cristian G. Bologa and Tudor I. Oprea -- Mapping between databases of compounds and protein targets / Sorel Muresan, Markus Sitzmann, and Christopher Southan -- Predictive cheminformatics in drug discovery : statistical modeling for analysis of micro-array and gene expression data / N. Sukumar, Michael P. Krein, and Mark J. Embrechts -- Advances in nuclear magnetic resonance for drug discovery / Laurel O. Sillerud and Richard S. Larson -- Human ABC transporter ABCG2 in cancer chemotherapy : drug molecular design to circumvent multidrug resistance / Toshihisa Ishikawa [and others] -- Protein interactions : mapping interactome networks to support drug target discovery and selection / Javier De Las Rivas and Carlos Prieto -- Linking variants from genome-wide association analysis to function via transcriptional network analysis / Benjamin J. Keller, Sebastian Martini, and Viji Nair -- Models of excitation-contraction coupling in cardiac ventricular myocytes / M. Saleet Jafri -- Integration of multiple ubiquitin signals in proteasome regulation / Marta Isasa, Alice Zuin, and Bernat Crosas.
  • 2013 Springer
    editor: Bairong Shen.
    The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc.
  • 2012 Springer
    Naiara Rodríguez-Ezpeleta, Michael Hackenberg, Ana M. Aransay, editors.
    Overview of sequencing technology platforms / Samuel Myllykangas, Jason Buenrostro, and Hanlee P. Ji -- Applications of high-throughput sequencing / Rodrigo Goya, Irmtraud M. Meyer, and Marco A. Marra -- Computational infrastructure and basic data analysis for high-throughput sequencing / David Sexton -- Base-calling for bioinformaticians / Mona A. Sheikh and Yaniv Erlich -- De novo short-read assembly / Douglas W. Bryant Jr. and Todd C. Mockler -- Short-read mapping / Paolo Ribeca -- DNA-protein interaction analysis (ChIP-Seq) / Geetu Tuteja -- Generation and analysis of genome-wide DNA methylation maps / Martin Kerick, Axel Fischer, and Michal-Ruth Schweiger -- Differential expression for RNA sequencing (RNA-Seq) data : mapping, summarization, statistical analysis, and experimental design / Matthew D. Young ... [et al.] -- MicroRNA expression profiling and discovery / Michael Hackenberg -- Dissecting splicing regulatory network by integrative analysis of CLIP-Seq data / Michael Q. Zhang -- Analysis of metagenomics data / Elizabeth M. Glass and Folker Meyer -- High-throughput sequencing data analysis software : current state and future developments / Konrad Paszkiewicz and David J. Studholme.
  • 2010 Springer
    Darren R. Flower, Matthew N. Davies, Shoba Ranganathan, editors.
  • 2011 Springer Protocols
    edited by Bernd Mayer.
    [Publisher-supplied data] Presenting an area of research that intersects with and integrates diverse disciplines, including molecular biology, applied informatics, and statistics, among others, Bioinformatics for Omics Data: Methods and Protocols collects contributions from expert researchers in order to provide practical guidelines to this complex study. Divided into three convenient sections, this detailed volume covers central analysis strategies, standardization and data-management guidelines, and fundamental statistics for analyzing Omics profiles, followed by a section on bioinformatics approaches for specific Omics tracks, spanning genome, transcriptome, proteome, and metabolome levels, as well as an assortment of examples of integrated Omics bioinformatics applications, complemented by case studies on biomarker and target identification in the context of human disease. Written in the highly successful Methods in Molecular Biology series format, chapters contain introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and accessible, Bioinformatics for Omics Data: Methods and Protocols serves as an ideal guide to scientists of all backgrounds and aims to convey the appropriate sense of fascination associated with this research field.
  • 2009 Springer
    edited by Gavin J. Gordon.
    The emergence of bioinformatics : historical perspective, quick overview and future trends / Christos A. Ouzounis -- The statistical design and interpretation of microarray experiments / Kevin K. Dobbin and Richard M. Simon -- Whole-genome analysis of cancer / Steven A. Enkemann ... [et al.] -- Bioinformatics approaches to the analysis of the transcriptome of animal models of cancer / Mark J. Hoenerhoff ... [et al.] -- Significance of aberrant expression of miRNAs in cancer cells / George A. Calin ... [et al.] -- Proteomic methods in cancer research / Scot Weinberger and Egisto Boschetti -- Comprehensive genomic profiling for biomarker discovery for cancer detection, diagnostics and prognostics / Xiaofeng Zhou ... [et al.] -- Gene expression profiling of the leukemias : oncogenesis, drug responsiveness, and prediction of clinical outcome / Lars Bullinger, Hartmut Dohner, and Jonathon R. Pollack -- Personalized medicine in the clinical management of colorectal cancer / Anthony El-Khoueiry and Heinz Josef Lenz -- PIK3CA gene alterations in human cancers / Sérgia Velho, Carla Oliveira, and Raquel Seruca.
  • 2008 NCBI Bookshelf
    editors, Arthur Gruber, Alan M. Durham, Chuong Huynh, and Hernado A. del Portillo.
    "This book is intended to serve both as a textbook for short bioinformatics courses and as a base for a self-teaching endeavor. "--Introduction.
  • 2006 Springer
    edited by Nikolay Kolchanov, Ralf Hofestaedt, Luciano Milanesi.
  • 2014 CRCnetBASE
    edited by Yu Liu, PhD.
  • 2007
    Jules J. Berman.
    Status: Not Checked OutLane Catalog Record
  • 2014 Springer
    Cimino, James J.; Shortliffe, Edward H.
    Biomedical Informatics: Computer Applications in Health Care and Biomedicine meets the growing demand of practitioners, researchers, educators, and students for a comprehensive introduction to key topics in the field and the underlying scientific issues that sit at the intersection of biomedical science, patient care, public health, and information technology (IT). This 4th edition reflects the remarkable changes in both computing and health care that continue to occur and the exploding interest in the role that IT must play in care coordination and the melding of genomics with innovations in clinical practice and treatment. New chapters have been introduced on the health information infrastructure, consumer health informatics, telemedicine, translational bioinformatics, clinical research informatics, and health IT policy, while the others have all undergone extensive revisions, in many cases with new authors. The organization and philosophy are unchanged, focusing on the science of information and knowledge management and the role of computers and communications in modern biomedical research, health, and health care. Emphasizing the conceptual basis of the field rather than technical details, it provides an introduction and extensive bibliography so that readers can comprehend, assess, and utilize biomedical informatics and health IT. The volume focuses on easy-to-understand examples, a guide to additional literature, chapter summaries, and a comprehensive glossary with concise definitions of recurring terms for self-study or classroom use.
  • 2006 Springer
    Edward H. Shortliffe, editor; James J. Cimino, associate editor.
    Also available: Print – 2006
  • 2014 ebrary
    Kevin Bretonnel Cohen, Dina Demner-Fushman.
    Biomedical Natural Language Processing" is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.
  • 2008 Springer
    Fernando Bello, P.J. "Eddie" Edwards (eds.).
  • 2012 Springer Protocols
    edited by Luca Monticelli, Emppu Salonen.
    Ab Initio, density functional theory, and semi-empirical calculations / Mikael P. Johansson, Ville R.I. Kaila, and Dage Sundholm -- Ab Initio molecular dynamics / Kari Laasonen -- Introduction to QM/MM simulations / Gerrit Groenhof -- Computational enzymology / Alessio Lodola and Adrian J. Mulholland -- QM and QM/MM simulations of proteins / Thomas Steinbrecher and Marcus Elstner -- Classical molecular dynamics in a nutshell / Susanna Hug -- Enhanced sampling algorithms / Ayori Mitsutake, Yoshiharu Mori, and Yuko Okamoto -- Force fields for classical molecular dynamics / Luca Monticelli and D. Peter Tieleman -- Polarizable force fields / Hanne S. Antila and Emppu Salonen -- Electrostatics interactions in classical simulations / G. Andres Cisneros, Volodymyr Babin, and Celeste Sagui -- Introduction to best practices in free energy calculations / Michael R. Shirts and David L. Mobley -- Recipes for free energy calculations in biomolecular systems / Mahmoud Moradi [and others] -- Molecular docking methodologies / Andrea Bortolato [and others] -- Simulation studies of the mechanism of membrane transporters / Giray Enkavi [and others] -- Molecular dynamics simulations of lipid bilayers : simple recipe of how to do it / Hector Martinez-Seara and Tomasz Rog -- Simulations of lipid monolayers / Svetlana Baoukina and D. Peter Tieleman -- Simulating DNA by molecular dynamics : aims, methods, and validation / Nicolas Foloppe, Marc Gueroult, and Brigitte Hartmann -- Simulation of carbohydrates, from molecular docking to dynamics in water / Nicolas Sapay, Alessandra Nurisso, and Anne Imberty -- Systematic methods for structurally consistent coarse-grained models / W.G. Noid -- Martini coarse-grained force field / Xavier Periole and Siewert-Jan Marrink -- Multiscale molecular modeling / Matej Praprotnik and Luigi Delle Site -- Coarse-grained models for protein folding and aggregation / Philippe Derreumaux -- Elastic network models : theoretical and empirical foundations / Yves-Henri Sanejouand -- Introduction to dissipative particle dynamics / Zhong-Yuan Lu and Yong-Lei Wang -- Multiscale molecular dynamics simulations of membrane proteins / Syma Khalid and Peter J. Bond -- Vesicles and vesicle fusion : coarse-grained simulations / Julian C. Shillcock.
  • 2006
    Status: Not Checked OutLane Catalog Record
  • 2014 CRCnetBASE
    Jessica Keyes.
    "Where once end users queued up to ask information technology (IT) permission to buy a new computer or new version of software, they are now bypassing IT altogether and buying it on their own. From laptops to smartphones. From iPads to any number of software apps, end users have tasted their freedom and love them. IT is just never going to be the same. Welcome to the brave new world of "bring your own devices" (BYODs). The roots of BYOD can be traced back to the consumerization of all things technology, where technical wizardry is no longer purely the domain of the geek who works for the IT department. Geeks can now be found all over the organization. These workers want to make their own technology choices, whether those choices are on the "approved" list or the company pays for it. Seventy percent of organizations have already adopted BYOD. Gartner predicts this number to increase to 90% by 2014. Most interestingly, a very high percentage of workers think that it is a right rather than a privilege to use their own devices at work. So, it is really not a question of if. It is not even a question of when. It is a question of will you be ready. Of course, the healthcare industry is not the same as most other industries. Hospitals, clinics, and medical offices are not stores, hotels, or assembly lines, although all of these industries are affected by the economy, productivity, regulation, and the need for assessment. hBYOD: Adapting BYOD for the Healthcare Industry provides the guidance necessary for living in this brave new world. You will first learn how to understand these new end users and their demands, as well as the strategic and tactical ramifications of these demands. BYOD will then cover the broad range of technical considerations such as selection, "-- Provided by publisher.
  • 2007 Springer
    edited by Igor Jurisica, Dennis A. Wigle, Bill Wong.
    Also available: Print – 2007
  • 2011 Springer
    Keith W. Boone.
    Organization of This Book -- Clinical Documentation -- The HL7 Clinical Document Architecture -- Extensible Markup Language -- Basic Data Types -- Text and Multimedia -- Demographic Data -- Codes and Vocabularies -- Codes -- Dates and Times -- Collections -- HL7 Version 3 Modeling -- Clinical Document Infrastructure -- The CDAtm Header -- The CDAtm Body -- Clinical Statements in the CDAtm -- HL7 Version 2 to CDAtm Release 2 -- Extracting Data from a CDAtm Document -- Templates -- Validating the Content of a CDAtm Document -- Implementation Guides on CDAtm.
  • 2011 Springer Protocols
    edited by Joe Zhongxiang Zhou.
    Historical overview of chemical library design / Roland E. Dolle -- Chemoinformatics and library design / Joe Zongxiang Zhou -- Molecular library design using multi-objective optimization methods / Christos A. Nicolaou and Christos C. Kannas -- A scalable approach to combinatorial library design / Puneet Sharma, Srinivasa Salapaka, and Carolyn Beck -- Application of Free-Wilson selectivity analysis for combinatorial library design / Simone Sciabola ... [et al.] -- Application of QSAR and shape pharmacophore modeling approaches for targeted chemical library design / Jerry O. Ebalunode, Weifan Zheng, and Alexander Tropsha -- Combinatorial library design from reagent pharmacophore fingerprints / Hongming Chen, Ola Engkvist, and Niklas Blomberg -- Docking methods for structure-based library design / Claudio N. Cavasotto and Sharangdhar S. Phatak -- Structure-based library design in efficient discovery of novel inhibitors / Shunqi Yan and Robert Selliah -- Structure-based and property-compliant library design of 11[beta]-HSD1 adamantyl amide inhibitors / Genevieve D. Paderes ... [et al.] -- Design of screening collections for successful fragment-based lead discovery / James Na and Qiyue Hu -- Fragment-based drug design / Eric Feyfant ... [et al.] -- LEAP into the Pfizer Global Virtual Library (PGVL) space : creation of readily synthesizable design ideas automatically / Qiyue Hu ... [et al.] -- The design, annotation, and application of a kinase-targeted library / Hualin Xi and Elizabeth A. Lunney -- PGVL hub : an integrated desktop tool for medicinal chemists to streamline design and synthesis of chemical libraries and singleton compounds / Zhengwei Peng ... [et al.] -- Design of targeted libraries against the human Chk1 kinase using PGVL hub / Xengwei Peng and Qiyue Hu -- GLARE : a tool for product-oriented design of combinatorial libraries / Jean-François Truchon -- CLEVER : a general design tool for combinatorial libraries / Tze Hau Lam ... [et al.].
  • 2010 Springer Protocols
    edited by Jürgen Bajorath.
    Some Trends in Chem(o)informatics / Wendy A. Warr -- Molecular Similarity Measures / Gerald M. Maggiora and Veerabahu Shanmugasundaram -- The Ups and Downs of Structure-Activity Landscapes / Rajarshi Guha -- Computational Analysis of Activity and Selectivity Cliffs / Lisa Peltason and Jurgen Bajorath -- Similarity Searching Using 2D Structural Fingerprints / Peter Willett -- Predicting the Performance of Fingerprint Similarity Searching / Martin Vogt and Jurgen Bajorath -- Bayesian Methods in Virtual Screening and Chemical Biology / Andreas Bender -- Reduced Graphs and Their Applications in Chemoinformatics / Kristian Birchall and Valerie J. Gillet -- Fragment Descriptors in Structure-Property Modeling and Virtual Screening / Alexandre Varnek -- The Scaffold Tree: An Efficient Navigation in the Scaffold Universe / Peter Ertl, Ansgar Schuffenhauer, and Steffen Renner -- Pharmacophore-Based Virtual Screening / Dragos Horvath -- De Novo Drug Design / Markus Hartenfeller and Gisbert Schneider -- Classification of Chemical Reactions and Chemoinformatics Processing of Enzymatic Transformations / Diogo A.R.S. Latino and Joao Aires-de-Sousa -- Informatics Approach to the Rational Design of siRNA Libraries / Jerry O. Ebalunode, Charles Jagun, and Weifan Zheng -- Beyond Rhodopsin: G Protein-Coupled Receptor Structure and Modeling Incorporating the b2-adrenergic and Adenosine A2A Crystal Structures / Andrew J. Tebben and Dora M. Schnur -- Methods for Combinatorial and Parallel Library Design / Dora M. Schnur, Brett R. Beno, Andrew J. Tebben, and Cullen Cavallaro -- The Interweaving of Cheminformatics and HTS / Anne Kummel and Christian N. Parker -- Computational Systems Chemical Biology / Tudor I. Oprea, Elebeoba E. May, Andrei Leitao, and Alexander Tropsha -- Ligand-Based Approaches to In Silico Pharmacology / David Vidal, Ricard Garcia-Serna, and Jordi Mestres -- Molecular Test Systems for Computational Selectivity Studies and Systematic Analysis of Compound Selectivity Profiles / Dagmar Stumpfe, Eugen Lounkine, and Jurgen Bajorath -- Application of Support Vector Machine-Based Ranking Strategies to Search for Target-Selective Compounds / Anne Mai Wassermann, Hanna Geppert, and Jurgen Bajorath -- What Do We Know?: Simple Statistical Techniques that Help / Anthony Nicholls.
  • 2014 Wiley
    edited by Jürgen Bajorath.
  • 2014 Springer Protocols
    edited by Ronald J.A. Trent.
    From the phenotype to the genotype via bioinformatics / Cali E. Willet and Claire M. Wade -- Production and analytic bioinformatics for next-generation DNA sequencing / Richard James Nigel Allcock -- Analyzing the metabolome / Francis G. Bowling and Mervyn Thomas -- Statistical perspectives for genome-wide association studies (GWAS) / Jennifer H. Barrett, John C. Taylor, and Mark M. Iles -- Bioinformatics challenges in genome-wide association studies (GWAS) / Rishika De, William S. Bush, and Jason H. Moore -- Studying cancer genomics through next-generation DNA sequencing and bioinformatics / Maria A. Doyle [and others] -- Using bioinformatics tools to study the role of microRNA in cancer / Fabio Passetti [and others] -- Chromosome microarrays in diagnostic testing : interpreting the genomic data / Greg B. Peters and Mark D. Pertile -- Bioinformatics approach to understanding interacting pathways in neuropsychiatric disorders / Ali Alawieh [and others] -- Pathogen genome bioinformatics / Vitali Sintchenko and Michael P.V. Roper -- Setting up next-generation sequencing in the medical laboratory / Bing Yu -- Managing incidental findings in exome sequencing for research / Marcus J. Hinchcliffe -- Approaches for classifying DNA variants found by sanger sequencing in a medical genetics laboratory / Pak Leng Cheong and Melody Caramins -- Designing algorithms for determining significance of DNA missense changes / Sivakumar Gowrisankar and Matthew S. Lebo -- DNA variant databases : current state and future directions / John-Paul Plazzer and Finlay Macrae -- Natural language processing in biomedicine : a unified system architecture overview / Son Doan [and others] -- Candidate gene discovery and prioritization in rare diseases / Anil G. Jegga -- Computer-aided drug designing / Mohini Gore and Neetin S. Desai.
  • 2008 Springer Protocols
    edited by Ronald J.A. Trent.
    In silico gene discovery / Bing Yu -- Whole genome-wide association study using Affymetrix SNP chip : a two-stage sequential selection method to identify genes that increase the risk of developing complex diseases / Howard H. Yang ... [et al.] -- Utilizing HapMap and tagging SNPs / Christopher A. Haiman and Daniel O. Stram -- Measuring the effects of genes and environment on complex traits / Jennifer H. Barrett -- Microarrays-planning your experiment / Jean Yee Hwa Yang -- Clinical uses of microarrays in cancer research / Carl Virtanen and James Woodgett -- Microarrays-analysis of signaling pathways / Anassuya Ramachandran ... [et al.] -- Microarrays-identifying molecular portraits for prostate tumors with different Gleason patterns / Alexandre Mendes, Rodney J. Scott, and Pablo Moscato -- Microarrays for the study of viral gene expression during human cytomegalovirus latent infection / Barry Slobedman and Allen K.L. Cheung -- Computer-assisted reading of DNA sequences / Huong Le ... [et al.] -- Evaluating DNA sequence variants of unknown biological significance / Scott A. Grist, Andrew Dubowsky, and Graeme Suthers -- Developing a DNA variant database / David C.Y. Fung -- Protein comparative sequence analysis and computer modeling / Brett D. Hambly, Cecily E. Oakley, and Piotr G. Fajer -- Identification and characterization of microbial proteins using peptide mass fingerprinting strategies / Jonathan W. Arthur -- Statistical analysis of image data provided by two-dimensional gel electrophoresis for discovery proteomics / Ben Crossett ... [et al.] -- Online resources for the molecular contextualization of disease / Chi N.I. Pang and Marc R. Wilkins -- Web-based resources for clinical bioinformatics / Anthony M. Joshua and Paul C. Boutros -- Developing decision support systems in clinical bioinformatics / Vitali Sintchenko and Enrico Coiera -- eConsulting / Siaw-Teng Liaw and Peter Schattner.
  • 2007 ScienceDirect
    edited by Robert A. Greenes.
    This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis. This book additionally addresses organizational, technical, and business challenges in order to successfully implement a computer-aided decision-making support system in healthcare delivery.
  • 2014 ScienceDirect
    2014 ClinicalKey
    edited by Robert A. Greenes.
    Sect. 1: Computer-based clinical decision support: overview, status, and challenges. Ch. 1. Definition, scope and challenges / Robert A. Greenes -- Ch. 2. A brief history of clinical decision support / Robert A. Greenes -- Ch. 3. Features of computer-based clinical decision support / Robert A. Greenes -- Ch. 4. The role of quality measurement and reporting feedback as a driver for care improvement / Floyd Eisenberg -- Sect. 2: Experience with CDS development and adoption : case studies, national initiatives, and lessons learned. Ch. 5. Regenstrief medical informatics / Paul Biondich, [et al.] -- Ch. 6. Patients, doctors, and information technology : clinical decision support at Brigham and Women's Hospital and Partners HealthCare / Adam Wright and David W. Bates -- Ch. 7. Computer-based approaches to improving healthcare quality and safety at LDS Hospital / R. Scott Evans -- Ch. 8. International dimensions of clinical decision support / Hamish Fraser and Jeremy Wyatt -- Ch. 9. Current state of CDS utilization / Robert A. Greenes -- Sect. 3: Sources of knowledge for clinical decision support. Ch. 10. Human-intensive techniques / Vimla L. Patel and Edward H. Shortliffe -- Ch. 11. Generation of knowledge for clinical decision support / Michael E. Matheny and Lucila Ohno-Machado -- Ch. 12. Modernizing evidence synthesis for evidence-based medicine / Byron C. Wallace, [et al.] -- Ch. 13. Big data and population-based decision support / Michael A. Krall, Adi V. Gundlapalli and Matthew H. Samore -- Ch. 14. Clinical decision support for personalized medicine / Brandon M. Welch, [et al.]. Sect. 4: The technology of clinical decision support. Ch. 15. Decision rules and expressions / Robert A. Jenders -- Ch. 16. Guidelines and workflow models / Mor Peleg and Arturo González-Ferrer -- Ch. 17. Ontologies, vocabularies and data models / Stanley M. Huff, [et al.] -- Ch. 18. Grouped knowledge elements / Margarita Sordo and Aziz A. Boxwala -- Ch. 19. Infobuttons and point of care access to knowledge / Guilherme Del Fiol, Hong Yu and James J. Cimino -- Ch. 20. Formal representations and semantice web technologies / Alan Rector and Davide Sottara -- Ch. 21. The role of standards / Kensaku Kawamoto and Robert A. Greenes -- Sect. 5: Adoption of clinical decision support. Ch. 22. Cognitive considerations for health information technology / Amy Franklin and Jiajie Zhang -- Ch. 23. Organizational and cultural change / Joan S. Ash and Timothy H. Hartzog -- Ch. 24. Managing the investment in clinical decision support / John Glaser and Tonya Hongsermeier -- Ch. 25. A clinical decision support implementation guide : practical considerations / Donald Levick and Jerome Osheroff -- Ch. 26. Legal and regulatory issues related to the use of clinical software in health care delivery / Steven H. Brown and Randolph A. Miller -- Ch. 27. Consumers and clinical decision support / Nananda Col and Rosaly Correa-de-Araujo -- Sect. 6: The journey to widespread use of clinical decision support. Ch. 28. A clinical knowledge management program / Roberto A. Rocha, [et al.] -- Ch. 29. Integration of knowledge resources into applications to enable CDS / Kensaku Kawamoto, Emory Fry and Robert Greenes -- Ch. 30. Looking ahead : the road to broad adoption / Robert A. Greenes.
  • 2007 Springer
    Eta S. Berner, editor.
    Overview of clinical decision support systems / Eta S. Berner and Tonya J. La Londe -- Mathematical foundations of decision support systems / S. Andrew Spooner -- Data mining and clinical decision support systems / J. Michael Hardin and David C. Chhieng -- Design and implementation issues / Jerome H. Carter -- Diagnostic decision support systems / Randolph A. Miller and Antoine Geissbuhler -- Ethical and legal issues in decision support / Kenneth W. Goodman -- Clinical trials of information interventions / E. Andrew Balas and Suzanne Austin Boren -- Clinical decision support at Intermountain Healthcare / Peter J. Haug ... [et al.] -- Clinical decision support within the Regenstrief medical record system / Burke W. Mamlin ... [et al.] -- Decision support during inpatient care provider order entry : the Vanderbilt experience / Randolph A. Miller ... [et al.] -- Decision support for patients / Holly B. Jimison, Paul P. Sher, Jennifer J.B. Jimison.
  • 2016 Springer
    John T. Finnell, Brian E. Dixon, editors.
    This study guide is written to support the formal training required to become certified in clinical informatics. The content is structured to define and introduce key concepts with examples drawn from real-world experiences in order to impress upon the reader the core content from the field of clinical informatics. The book is divided into sections that group related chapters based on the major foci of the core content: health care delivery; clinical decision-making; information systems; leadership and managing teams; and professionalism. The chapters do not need to be read or taught in order, although the suggested order is consistent with how the editors have structured their curricula over the years. Clinical Informatics Study Guide: Text and Review serves as a reference for those seeking to independently study for a certifying examination or periodically reference while in practice. It further provides a roadmap for faculty who wish to go deeper in courses designed for physician fellows or graduate students in a variety of clinically oriented informatics disciplines, such as nursing, pharmacy, radiology, and public health.
  • 2014 Cambridge
    Cecily Morrison, Matthew R. Jones, Julie Bracken.
    "This book discusses the issues that need to be considered when selecting and implementing a CIS in critical care. Common mistakes and pitfalls are highlighted. When appropriate, it offers evidence from research in health informatics and organisational change. This book is for all those involved in the selection, purchase, implementation, and use of a CIS. This includes clinicians, nurses, allied healthcare professional, managers, and executives. It is a key in the success of a CIS implementation project to include as many stakeholders as possible. This book can inform and support discussion between multiple stakeholders"--Provided by publisher.
  • 2012 Springer
    Rachel L. Richesson, James E. Andrews, editors.
    "This book provides foundational coverage of key areas, concepts, constructs, and approaches of medical informatics as it applies to clinical research activities, in both current settings and in light of emerging policies. The field of clinical research is fully characterized (in terms of study design and overarching business processes), and there is emphasis on information management aspects and informatics implications (including needed activities) within various clinical research environments. The purpose of the book is to provide an overview of clinical research (types), activities, and areas where informatics and IT could fit into various activities and business practices. This book introduces and applies informatics concepts only as they have particular relevance to clinical research settings"--Provided by publisher.
  • 2011 CRCnetBASE
    A.K. Soman.
    1. What are cloud services? -- 2. Benefits and drawbacks of cloud services -- 3. Cloud technologies -- 4. Cloud-based solutions for healthcare IT -- 5. HIPAA and HITECH : cloud perspective -- 6. Adopting cloud services -- 7. Interoperability -- 8. Cloud-based personal health records (PHR) -- 9. Case studies.
  • 2015 Springer
    Vimla L. Patel, Thomas G. Kannampallil, David R. Kaufman, editors.
  • 2014 Springer
    Vimla L. Patel, David R. Kaufman, Trevor Cohen, editors.
    "Enormous advances in information technology have permeated essentially all facets of life in the past two decades. Formidable challenges remain in fostering tools that enhance productivity but are sensitive to work practices. Cognitive Informatics (CI) is the multidisciplinary study of cognition, information and computational sciences that investigates all facets of human computing including design and computer-mediated intelligent action, thus is strongly grounded in methods and theories from cognitive science. As an applied discipline, it has a close affiliation with human factors and human-computer interaction, and provides a framework for the analysis and modeling of complex human performance in technology-mediated settings and contributes to the design and development of better information systems. In recent years, CI has emerged as a distinct area with special relevance to biomedicine and health care. In addition, it has become a foundation for education and training of health informaticians, the Office of the National Coordinator for Health Information Technology initiating a program including CI as one of its critical elements to support health IT curriculum development. This book represents a first textbook on cognitive informatics and will focus on key examples drawn from the application of methods and theories from CI to challenges pertaining to the practice of critical-care medicine (CCM). Technology is transforming critical care workflows and re-organizing patient care management processes. CCM has proven to be a fertile test bed for theories and methods of cognitive informatics. CI, in turn, has contributed much to our understanding of the factors that result in complexity and patient errors. The topic is strongly interdisciplinary and will be important for individuals from a range of academic and professional backgrounds, including critical care specialists, psychologists, computer scientists, medical informaticians, and anthropologists"--Provided by publisher.
  • 2013 Springer
    Adam I. Levine, Samuel DeMaria Jr., Andrew D. Schwartz, Alan J. Sim, editors.
    Part I. Introduction to simulation -- Part II. Simulation modalities and technologies -- Part III. Simulation for healthcare disciplines -- Part IV. Professional development in simulation -- Part V. Program development in simulation -- Appendices -- Index.
  • 2006
    Iwei Yeh.
    Status: Not Checked OutLane Catalog Record
  • 2006 Springer
    edited by Wei Zhang and Ilya Shmulevich.
  • 2015 Springer
    Andrew E. Teschendorff, editor.
    This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike. Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.
  • 2013 Springer
    Röbbe Wünschiers.
    This greatly expanded 2nd edition provides a practical introduction to - data processing with Linux tools and the programming languages AWK and Perl- data management with the relational database system MySQL, and- data analysis and visualization with the statistical computing environment R for students and practitioners in the life sciences. Although written for beginners, experienced researchers in areas involving bioinformatics and computational biology may benefit from numerous tips and tricks that help to process, filter and format large datasets. Learning by doing is the basic concept of this book. Worked examples illustrate how to employ data processing and analysis techniques, e.g. for - finding proteins potentially causing pathogenicity in bacteria, - supporting the significance of BLAST with homology modeling, or- detecting candidate proteins that may be redox-regulated, on the basis of their structure. All the software tools and datasets used are freely available. One section is devoted to explaining setup and maintenance of Linux as an operating system independent virtual machine. The author's experiences and knowledge gained from working and teaching in both academia and industry constitute the foundation for this practical approach.
  • 2011 Atypon
    Ozkan Ufuk Nalbantoglu and Khalid Sayood.
    Recent advances in development of sequencing technology has resulted in a deluge of genomic data. In order to make sense of this data, there is an urgent need for algorithms for data processing and quantitative reasoning. An emerging in silico approach, called computational genomic signatures, addresses this need by representing global species-specific features of genomes using simple mathematical models. This text introduces the general concept of computational genomic signatures, and it reviews some of the DNA sequence models which can be used as computational genomic signatures. The text takes the position that a practical computational genomic signature consists of both a model and a measure for computing the distance or similarity between models. Therefore, a discussion of sequence similarity/distance measurement in the context of computational genomic signatures is presented. The remainder of the text covers various applications of computational genomic signatures in the areas of metagenomics, phylogenetics and the detection of horizontal gene transfer.
  • 2012 Springer
    Zlatko Trajanoski, editor.
    Bioinformatic Tools for the Search of Disease-Associated Variations / Stefan Coassin, Anita Kloss-Brandstätter and Florian Kronenberg -- Cloud Computing / Bringing Computational Power to Medical Genetics / Lukas Forer, Sebastian Schönherr, Hansi Wei€ensteiner, Günther Specht and Florian Kronenberg, et al. -- High-Throughput Characterization and Comparison of Microbial Communities / Bettina Halwachs, Gregor Gorkiewicz and Gerhard G. Thallinger -- Microarray Meta-Analysis: From Data to Expression to Biological Relationships / Julia Feichtinger, Gerhard G. Thallinger, Ramsay J. McFarlane and Lee D. Larcombe -- Analysis of Labeled Quantitative Mass Spectrometry Proteomics Data / Florian Paul Breitwieser and Jacques Colinge -- Lipidomics, Mass Spectrometry, and Bioinformatics / Jürgen Hartler, Harald C. Köfeler, Christopher J. O. Baker, Ravi Tharakan and Gerhard G. Thallinger -- Protein Sequence-Structure-Function-Network Links Discovered with the ANNOTATOR Software Suite: Application to ELYS/Mel-28 / Georg Schneider, Westley Sherman, Durga Kuchibhatla, Hong Sain Ooi and Fernanda L. Sirota, et al. -- 3D Structure and Drug Design / Kristina Djinović-Carugo and Oliviero Carugo -- Integrating Biomolecular and Clinical Data for Cancer Research: Concepts and Challenges / Pornpimol Charoentong, Hubert Hackl, Bernhard Mlecnik, Gabriela Bindea and Jerome Galon, et al. -- Applied Data Mining: From Biomarker Discovery to Decision Support Systems / M. Osl, M. Netzer, S. Dreiseitl and C. Baumgartner -- Network-Based Methods for Computational Diagnostics by Means of R / Laurin A. J. Mueller, Matthias Dehmer and Frank Emmert-Streib.
  • 2007 ScienceDirect
    edited by Paul Cisek, Trevor Drew, John F. Kalaska.
  • 2014 ScienceDirect
    edited by Roland Eils, Andres Kriete.
    Introducing computational systems biology / Roland Eils, Andres Kriete -- Structural systems biology : modeling interactions and networks for systems studies / Robert B. Russell, Gordana Apic, Olga Kalinina, Leonardo Trabuco, Matthew J. Betts, Qianhao Lu -- Understanding principles of the dynamic biochemical networks of life through systems biology / Hans V. Westerhoff, Fei He, Ettore Murabito, Frederic Cremazy, Matteo Barberis -- Biological foundations of signal transduction, systems biology and aberrations in disease / Ursula Klingmuller, Marcel Schilling, Sofia Depner, Lorenza A. D'Alessandro -- Complexities in quantitative systems analysis of signaling networks / Christina Kiel, Luis Serrano -- Gene networks : estimation, modeling, and simulation / Seiya Imoto, Hiroshi Matsuno, Satoru Miyano -- Reconstruction of metabolic network from genome information and its structural and functional analysis / Hong-Wu Ma, An-Ping Zeng -- Standards, platforms, and applications / Stanley Gu, Herbert Sauro -- Databases, standards, and modeling platforms for systems biology / Juergen Eils, Elena Herzog, Baerbel Felder, Christian Lawerenz, Roland Eils -- Computational models for circadian rhythms : deterministic versus stochastic approaches / Jean-christophe Leloup, Didier Gonze, Albert Goldbeter -- Top-down dynamical modeling of molecular regulatory networks / Reinhard Laubenbacher, Pedro Mendes -- Discrete gene network models for understanding multicellularity and cell reprogramming : from network structure to attractor landscapes landscape / Joseph Xu Zhou, Xiaojie Qiu, Aymeric Fouquier D'Herouel, Sui Huang -- Stochastic simulations of cellular processes : from single cells to colonies / John Cole, Mike J. Hallock, Piyush Labhsetwar, Joseph R. Peterson, John E. Stone, Zaida Luthey-Schulten -- Advances in machine learning for processing and comparison of metagenomic data / Jean-Luc Bouchot, William L. Trimble, Gregory Ditzler, Yemin Lan, Steve Essinger, Gail Rosen -- Systems biology of infectious diseases and vaccines / Helder I. Nakaya -- From cell behavior to tissue deformation : computational modeling and simulation of early animal embryogenesis with the mecagen platform / Julien Delile, Ren Doursat, Nadine Peyriras -- Developing a systems biology of aging / Andres Kriete, Mathieu Cloutier -- Morphometric analysis of tissue heterogeneity in glioblastoma multiforme -- Applications in cancer research : mathematical models of apoptosis / Stefan M. Kallenberger, Stefan Legewie, Roland Eils.
  • 2012 Springer
    Nicolas Le Novère, editors.
    Functional Genomics and Molecular Networks Gene Expression Regulations in Complex Diseases: Down Syndrome as a Case Study / Marie-Claude Potier and Isabelle Rivals -- Reconstructing Models from Proteomics Data / Lysimachos Zografos, Andrew J. Pocklington and J. Douglas Armstrong -- Using Chemical Kinetics to Model Neuronal Signalling Pathways / Lukas Endler, Melanie I. Stefan, Stuart J. Edelstein and Nicolas Le Novère -- Breakdown of Mass-Action Laws in Biochemical Computation / Fidel Santamaria, Gabriela Antunes and Erik De Schutter -- Spatial Organization and Diffusion in Neuronal Signaling / Sherry-Ann Brown, Raquell M. Holmes and Leslie M. Loew -- The Performance (and Limits) of Simple Neuron Models: Generalizations of the Leaky Integrate-and-Fire Model / Richard Naud and Wulfram Gerstner -- Multi-compartmental Models of Neurons / Upinder S. Bhalla -- Noise in Neurons and Other Constraints / A. Aldo Faisal -- Methodological Issues in Modelling at Multiple Levels of Description / Kevin Gurney and Mark Humphries -- Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on Supercomputers / Anders Lansner and Markus Diesmann -- Co-operative Populations of Neurons: Mean Field Models of Mesoscopic Brain Activity / David T. J. Liley, Brett L. Foster and Ingo Bojak -- Cellular Spacing: Analysis and Modelling of Retinal Mosaics / Stephen J. Eglen -- Measuring and Modeling Morphology: How Dendrites Take Shape / Todd A. Gillette and Giorgio A. Ascoli -- Axonal Growth and Targeting / Duncan Mortimer, Hugh D. Simpson and Geoffrey J. Goodhill -- Encoding Neuronal Models in SBML / Sarah M. Keating and Nicolas Le Novère -- NeuroML / Padraig Gleeson, Volker Steuber, R. Angus Silver and Sharon Crook -- XPPAUT / Bard Ermentrout -- NEST by Example: An Introduction to the Neural Simulation Tool NEST / Marc-Oliver Gewaltig, Abigail Morrison and Hans Ekkehard Plesser.
  • 2013 ScienceDirect
    edited by Bruce A. Fowler.
    Computational Toxicology: Methods and Applications for Risk Assessment is an essential reference on the translation of computational toxicology data into information that can be used for more informed risk assessment decision-making. This book is authored by leading international investigators who have real-world experience in relating computational toxicology methods to risk assessment. Key topics of interest include QSAR modeling, chemical mixtures, applications to metabolomic and metabonomic data sets, toxicogenomic analyses, applications to REACH informational strategies and much more. With a free companion website featuring an image bank from the book and web links for further research and reading, this authoritative reference is your complete guide to computational toxicology methods and applications to risk assessment. Authored by leading international researchers engaged in cutting-edge applications of computational methods for translating complex toxicological data sets into useful risk assessment information. Incorporates real-world examples of how computational toxicological methods have been applied to advance the science of risk assessment Provides the framework necessary for new technologies and fosters common vocabularies and principles upon which the effects of new chemical entities should be compared.
  • 2012 CRCnetBASE
    editors, João Manuel R.S. Tavares and R.M. Natal Jorge.
  • 2012 Springer
    Morris F. Collen.
  • 2016 Springer
    Thomas Wetter ; with contributions by George Demiris, Amanda K. Hall, Andrea Hartzler, Jina Huh, Georgios Raptis and Lisa M. Vizer.
    Part I. Introducing the Domain and Levels of Service -- 1. Character of domain and organization of book -- 2. Economy 1: immanent mismatch between demand and supply of health care workforce -- 3. Level 0: searching-finding-trusting-acting-risking one's life? -- 4. Level 1: enhancing the provider- client relation through IT -- 5. Level 2: services without in-person contact between provider and client -- 6. Level 3: patient power on the web: the multifaceted role of personal health wisdom -- 7. Distinctive features of services conveyed through mobile apps -- Part II. Building Safety Nets Around the Active Client -- 8. Dimensions of patient risks and requirements for patient safety -- 9. Services for all stages of the metabolic syndrome and its consequences -- 10. Basic services reach out towards under-served populations -- 11. Smart homes: empowering the patient till the end -- 12. Partial solutions for patient safety -- Part III. Additional Methodology -- 13. Privacy and data protection: mission impossible? -- 14. The patient-centered electronic health record and patient portals -- 15. Scrutinized proof of effectiveness or cost effectiveness regarding patient reported outcomes -- 16. Economy 2: economic subsistence of services when research funding ends -- 17. Towards future consumer health informatics adapted health care legislation -- Trademarks -- Nomenclature -- General index -- Index of services.
  • 2016 Springer
    Nilmini Wickramasinghe, Indrit Troshani, Joseph Tan, editors.
    Preface -- Foreword -- Section I: Defining the Discipline -- What Is Consumer Health Informatics -- The Landscape -- Section II: Technologies -- Remote Monitoring and Mobile Apps -- Social Media and Web 2.0 -- Personal Health Record -- Architecture and Infrastructure Requirements -- Section III: Design -- Designing for the Consumer -- Design Methods -- Section IV: Roles and Responsibilities -- Connecting with Medical Systems and Healthcare Providers -- Policy, Public Health, and Economics -- Quality Control, Security and Privacy -- Section V: On the Horizon: Perspectives on the Future -- The Future: Research Issues -- The Future: Policy and Funding -- The Future: Research Perspective, Grantor Perspective, Vendor Perspective -- Epilogue: Lessons, Take Aways and Recommendations -- Appendix: Case Vignettes.
  • 2015 Springer
    Richard Edlin, Christopher McCabe, Claire Hulme, Peter Hall, Judy Wright.
  • 2012 ProQuest Safari
    Eric Topol.
    "Mobile technology has transformed our lives, and personal genomics is revolutionizing biology. But despite the availability of technologies that can provide wireless, personalized health care at lower cost, the medical community has resisted change. In The Creative Destruction of Medicine, Eric Topol--one of the nation's top physicians--calls for consumer activism to demand innovation and the democratization of medical care." -- [Publisher-provided data]
  • 2012 Springer
    edited by Nilmini Wickramasinghe, Rajeev Bali, Reima Suomi, Stefan Kirn.
    Section I. Innovation and process considerations in the role of IS/IT in e-health. -- 1. Improving e-performance management in healthcare using intelligent IT solutions / Fatemeh Hoda Moghimi and Nilmini Wickramasinghe -- 2. An intelligence e-risk detection model to improve decision efficiency in the context of the orthopaedic operating room / Fatemeh Hoda Mogihim, Hossein Zadeh, and Nilmini Wickramasinghe -- 3. Healthcare information systems design : using a strategic improvisation model / Say Yen Teoh and Nilmini Wickramasinghe -- 4. Assimilation of healthcare information systems (HIS) : an analysis and critique / Hidayah Sulaiman and Nilmini Wichramasinghe -- 5. e-health in China : an evaluation / Yu Yun ... [et al.] -- 6. Improving the process of healthcare delivery in an outpatient environment : the case of a urology department / Chris Gonzalez and Nilmini Wickramasinghe -- 7. Adaptations for e-kiosk systems in Germany to develop barrier-free terminals for handicapped persons / Manuel Zwicker, Juergen Seitz, and Nilmini Wichramasinghe -- Section II. Design and organisation designing supportive and collaborative electronic health environments. -- 8. Collaborative approach for sustainable citizen-centered health care / Pirkko Nykänen and Antto Seppäla ̈-- 9. Strategies and solutions in e-health : a literature review / Marco De Marco, Francesca Ricciardi, and Jan vom Brocke -- 10. Online discussion forum as a means of peer support / R. Halonen -- 11. Designing persuasive health behavior change interventions / Tuomas Lehto -- 12. Accessiblility in the web for disabled people / Irene Krebs, Arnim Nethe, and Reetta Raitoharju -- Section III. The importance of people in e-health : lest we forget. -- 13. Knowledge management : often neglected but crucial to ehealth / Juerg P. Bleuer ... [et al.] -- 14. Patient Empowerment : a two way road / Lodewijk Bos -- 15. Citizen empowerment / Amir Hannan -- 16. E-health : focusing on people-centric dimensions / Rajeev K. Bali ... [et al.] -- 17. A model of estimating the direct benefits of implementing electronic data exchange of EMRs and state immunization information systems / Michael L. Popovich and Xiaohui Zhang -- Section IV. Innovation in e-health. -- 18. Business models for electronic healthcare services in Germany / S. Duennebeil, J. Leimeister, and H. Krcmar -- 19. Smart objects in healthcare : impact on clinical logistics / Martin Sedlmayr and Ulli Münch -- 20. Agency theory in e-healthcare and telemedicine : a literature study / Joerg Leukel ... [et al.] -- 21. Cost accounting and decision support for healthcare institutions / L. Waehlert, A. Wagner, and H. Czap -- 22. A comprehensive approach to the IT : clinial practice interface / David Zakim and Mark Dominik Alscher
  • 2011 ScienceDirect
    Witten, I. H.; Frank, Eibe; Hall, Mark A.
    Part I. Machine Learning Tools and Techniques: -- 1. What's it all about? -- 2. Input: concepts, instances, and attributes -- 3. Output: knowledge representation -- 4. Algorithms: the basic methods -- 5. Credibility: evaluating what's been learned -- Part II. Advanced Data Mining: -- 6. Implementations: real machine learning schemes -- 7. Data transformation -- 8. Ensemble learning -- 9. Moving on: applications and beyond -- Part III. The Weka Data Mining Workbench: -- 10. Introduction to Weka -- 11. The explorer -- 12. The knowledge flow interface -- 13. The experimenter -- 14 The command-line interface -- 15. Embedded machine learning -- 16. Writing new learning schemes -- 17. Tutorial exercises for the Weka explorer.
  • 2012 Springer Protocols
    edited by Hiroshi Mamitsuka, Charles DeLisi, Minoru Kanehisa.
    Dense module enumeration in biological networks / Koji Tsuda and Elisabeth Georgii -- Discovering interacting domains and motifs in protein-protein interactions / Willy Hugo, Wing-Kin Sung, and See-Kiong Ng -- Global alignment of protein-protein interaction networks / Misael Mongiovì and Roded Sharan -- Structure learning for Bayesian networks as models of biological networks / Antti Larjo, Ilya Shmulevich, and Harri Lähdesmäki -- Supervised inference of gene regulatory networks from positive and unlabeled examples / Fantine Mordelet and Jean-Philippe Vert -- Mining regulatory network connections by ranking transcription factor target genes using time series expression data / Antti Honkela, Magnus Rattray, and Neil D. Lawrence -- Identifying pathways of coordinated gene expression / Timothy Hancock, Ichigaku Takigawa, and Hiroshi Mamitsuka -- Mining frequent subtrees in glycan data using the rings glycan miner tool / Kiyoko Flora Aoki-Kinoshita -- Chemogenomic approaches to infer drug-target interaction networks / Yoshihiro Yamanishi -- Localization prediction and structure-based in silico analysis of bacterial proteins : with emphasis on outer membrane proteins / Kenichiro Imai, Sikander Hayat, Noriyuki Sakiyama, Naoya Fujita, Kentaro Tomii, Arne Elofsson, and Paul Horton -- Analysis strategy of protein-protein interaction networks / Zhenjun Hu -- Data mining in the MetaCyc family of pathway databases / Peter D. Karp, Suzanne Paley, and Tomer Altman -- Gene set/pathway enrichment analysis / Jui-Hung Hung -- Construction of functional linkage gene networks by data integration / Bolan Linghu, Eric A. Franzosa, and Yu Xia -- Genome-wide association studies / Tun-Hsiang Yang, Mark Kon, and Charles DeLisi -- Viral genome analysis and knowledge management / Carla Kuiken, Hyejin Yoon, Werner Abfalterer, Brian Gaschen, Chienchi Lo, and Bette Korber -- Molecular network analysis of diseases and drugs in KEGG / Minoru Kanehisa.
  • 2015 Springer Protocols
    edited by Carlos Fernández-Llatas, Juan Miguel García-Gómez.
    Actigraphy pattern analysis for outpatient monitoring / Elies Fuster-Garcia ... [et al.] -- Definition of loss functions for learning from imbalanced data to minimize evaluation metrics / Juan Miguel Garcia-Gómez and Salvador Tortajada -- Audit method suited for DSS in clinical environment / Javier Vicente -- Incremental logistic regression for customizing automatic diagnostic models / Salvador Tortajada, Montserrat Robles, and Juan Miguel Garcia-Gómez -- Using process mining for automatic support of clinical pathways design / Carlos Fernandez-Llatas ... [et al.] -- Analyzing complex patients' temporal histories : new frontiers in temporal data mining / Lucia Sacchi, Arianna Dagliati, and Riccardo Bellazzi -- Snow system : a decentralized medical data processing system / Johan Gustav Bellika, Torje Starbo Henriksen, and Kassaye Yitbarek Yigzaw -- Data mining for pulsing the emotion on the web / Jose Enrique Borras- Morell -- Introduction on health recommender systems / C. L. Sanchez-Bocanegra, F. Sanchez-Laguna, and J. L. Sevillano -- Cloud computing for context-aware enhanced m-health services / Carlos Fernandez-Llatas ... [et al.] -- Analysis of speech-based measures for detecting and monitoring alzheimer's disease / A. Khodabakhsh and C. Demiroglu -- Applying data mining for the analysis of breast cancer data / Der-Ming Liou and Wei-Pin Chang -- Mining data when technology is applied to support patients and professional on the control of chronic diseases : the experience of the METABO platform for diabetes management / Giuseppe Fico ... [et al.] -- Data analysis in cardiac arrhythmias / Miguel Rodrigo ... [et al.] -- Knowledge-based personal health system to empower outpatients of diabetes mellitus by means of P4 medicine / Adrián Bresó ... [et al.] -- Serious games for elderly continuous monitoring / Lenin-G. Lemus-Zúñiga ... [et al.].
  • 2012
    Nicholas P. Tatonetti.
    Small molecule drugs continue to be an important part of medical therapy. However, their use is plagued by the onset of unexpected side effects, often seen only in late-stage clinical trials or after release to the market. As a result, there have been a number of high profile drug withdrawals because of side effects. More worrisome, however, are side effects that result from drug-drug interactions (DDIs). It is very difficult to empirically study DDIs before drugs enter the market because of the small samples of co-prescribed drugs in most late stage clinical drug (Phase III) studies. Some DDIs can be predicted based on knowledge of shared pathways of metabolism--such as when two drugs share a metabolizing enzyme and so the effective levels of one or both drugs are affected by saturation of the enzyme. But many DDIs are more idiosyncratic and difficult to predict. The most difficult cases are those in which two drugs produce a synergistic effect not seen with either drug alone. Thus, I created surveillance methods to detect unexpected DDIs, relying on clinical databases--both electronic medical records and spontaneous adverse event reporting systems. Understanding DDIs has an additional benefit for drug discovery. If two drugs have a synergistic effect, they may shed new light on the molecular mechanisms of their action or of the diseases they treat. If we use a model not of "one drug-one target" but of multiple interacting cellular pathways that respond to drugs ("the network is the target"), then we can leverage DDIs for the study of disease. However, to do this we need new ways to probe and understand these pathways, such as studying the unexpected synergies between drugs in observational reporting systems. Thus it would be extremely valuable to have computational methods that link adverse events to molecular events. The emergence of large databases linking drugs, diseases, drug effects, demographics and genes offers a new opportunity to create informatics methods for greater understanding small molecule effects at the clinical and biological level. I describe studies in which I have shown the great power of integrating these databases. In particular, I used the FDA Adverse Events Reporting System (FDA-AERS) to discover a signal for abnormal glucose in patients taking both paroxetine and pravastatin. Paroxetine is a selective serotonin reuptake inhibitor antidepressant. Pravastatin is an HMG CoA reductase inhibitor cholesterol-lowering drug. Neither is typically associated with hyperglycemia. Based on my analysis of the FDA-AERS, I examined patient electronic medical records in three separate hospitals (Stanford, Harvard, Vanderbilt), and demonstrated a striking increase in glucose levels on patients on both drugs, compared to their glucose levels on only one of the drugs. I also showed that mice on these two drugs have increased glucose. I am working with FDA to consider a potential update to the drug labels. Although this discovery illustrates the power of clinical data mining, the databases I used are filled with biases that make their use treacherous. I believe there are many similarly valuable discoveries to be made in these databases. However, only with careful attention to systematic biases can I ensure that the predictions I make are valid. In this thesis I describe methods to address the major informatics challenges to detecting and understanding the effects of taking multiple drugs at once. In particular, I have shown that I can (1) remove the bias introduced by unmeasured confounding variables, (2) improve the detection of drug interactions in cases of low or even non-reporting, (3) link drug effects to genes through chemical informatics methods, and (4) validate new drug effects using novel retrospective and prospective studies. The work forms an infrastructure that is useful to (1) pharmacogenomics scientists wishing to understand drug action at the molecular level, (2) pharmacologists wishing to better understand the effects of drugs singly and in combination, and (3) regulatory agencies wishing to understand the efficacy and safety of drugs and drug-interactions at a population level.
  • 2012
    Tiffany Jeahgin Chen.
    Although cancer types vary widely, the number of new cancer drugs each year is severely limited. Even for those cancer therapies which are currently in use, prognostic outcomes vary significantly across cancer types. Drug discovery relies primarily on our knowledge of direct drug targets, but not the systematic off-target effects that these therapies may have. As a result, our knowledge of these drugs is somewhat limited to general mechanistic classes. Within these classes it is hard to find potential patient differences without time-intensive studies and trials. While drug classification relies on our knowledge of direct targets, it does not typically consider how a number of global cellular processes are ultimately affected. Quantifying the mechanistic differences between drugs is a difficult process. Current standards to quantify individual drug efficacy are large-scale measurements are taken at a heterogeneous population level, ignoring the effects of drug action or mechanism in single cells or cell populations. Because our knowledge is limited in this way, we are often surprised to find that similarly classified cancer drugs can have disparate effects in patients. Single-cell technologies including flow cytometry allow us to uncover relationships between drugs through simultaneous measurement of cell signal, cell cycle and cell type for each cell. Recent technological advances in flow cytometry have facilitated new clinical tests to determine cancer subtypes. In addition, these methodological advances have created potential for providing novel insights into drug mechanism and patient response. In this dissertation, I describe a new framework for performing mechanistic profiling of cancer cells. There are two facets of this problem. The first is an understanding of cancer cell cycle. Prior to treating with a drug, it is important to form a general model of how a cancer cell replicates. In a screening methodology, however, this is a difficult problem. I address this problem by building an automated, de novo model of cell cycle. Second, I perform cancer therapeutic profiling by measuring DNA damage, apoptosis, cell cycle, and cell signaling markers across multiple cancer cell types. In this thesis, I combine both cell cycle and drug profiling methods into a new drug profiling framework that can be used to find existing and novel cell cycle and drug-based biology. The results of our current work have major implications for use in profiling aberrant cell types in primary cancer samples, as well as mechanistic drug screening.
  • 2013 Springer Protocols
    edited by Noam Shomron.
    Introduction to high-throughput sequencing experiments : design and bioinformatics analysis / Rachelly Normand and Itai Yanai -- Compressing resequencing data with GReEn / Armando J. Pinho, Diogo Pratas, and Sara P. Garcia -- On the accuracy of short read mapping / Peter Menzel ... [et al.] -- Statistical modeling of coverage in high-throughput data / David Golan and Saharon Rosset -- Assembly algorithms for deep sequencing data : basics and pitfalls / Nitzan Kol and Noam Shomron -- Short read mapping for exome sequencing / Xueya Zhou ... [et al.] -- Profiling short tandem repeats from short reads / Melissa Gymrek and Yaniv Erlich -- Exome sequencing analysis : a guide to disease variant detection / Ofer Isakov, Marie Perrone, and Noam Shomron -- Identifying RNA editing sites in miRNAs by deep sequencing / Shahar Alon and Eli Eisenberg -- Identifying differential alternative splicing events from RNA sequencing data using RNASeq-MATS / Juw Won Park ... [et al.] -- Optimizing detection of transcription factor-binding sites in ChIP-seq experiments / Aleksi Kallio and Laura L. Elo -- Statistical analysis of ChIP-seq data with MOSAiCS / Guannan Sun ... [et al.] -- Detection of reverse transcriptase termination sites using cDNA ligation and massive parallel sequencing / Lukasz J. Kielpinski ... [et al.].
  • 2013 NAP
    Committee on Improving the Quality of Cancer Care: Addressing the Challenges of an Aging Population, Board on Health Care Services ; Laura A. Levit, Erin P. Balogh, Sharyl J. Nass, and Patricia A. Ganz, editors, Institute of Medicine of the National Academies.
    "In the United States, approximately 14 million people have had cancer and more than 1.6 million new cases are diagnosed each year. However, more than a decade after the Institute of Medicine (IOM) first studied the quality of cancer care, the barriers to achieving excellent care for all cancer patients remain daunting. Care often is not patient-centered, many patients do not receive palliative care to manage their symptoms and side effects from treatment, and decisions about care often are not based on the latest scientific evidence. The cost of cancer care also is rising faster than many sectors of medicine--having increased to 125 billion in 2010 from 72 billion in 2004--and is projected to reach 173 billion by 2020. Rising costs are making cancer care less affordable for patients and their families and are creating disparities in patients' access to high-quality cancer care. There also are growing shortages of health professionals skilled in providing cancer care, and the number of adults age 65 and older--the group most susceptible to cancer--is expected to double by 2030, contributing to a 45 percent increase in the number of people developing cancer. The current care delivery system is poorly prepared to address the care needs of this population, which are complex due to altered physiology, functional and cognitive impairment, multiple coexisting diseases, increased side effects from treatment, and greater need for social support. Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis presents a conceptual framework for improving the quality of cancer care. This study proposes improvements to six interconnected components of care: (1) engaged patients; (2) an adequately staffed, trained, and coordinated workforce; (3) evidence-based care; (4) learning health care information technology (IT); (5) translation of evidence into clinical practice, quality measurement and performance improvement; and (6) accessible and affordable care. This report recommends changes across the board in these areas to improve the quality of care. Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis provides information for cancer care teams, patients and their families, researchers, quality metrics developers, and payers, as well as HHS, other federal agencies, and industry to reevaluate their current roles and responsibilities in cancer care and work together to develop a higher quality care delivery system. By working toward this shared goal, the cancer care community can improve the quality of life and outcomes for people facing a cancer diagnosis."--Publisher's description.
  • 2011 Springer
    Gondy Leroy ; Kathryn J. Hannah, Marion J. Ball (series editors).
    Part I Designing the User Study -- Overview -- Variables -- Design equation and statistics -- Between-subjects design -- Within-subject designs -- Advanced designs -- Part II Practical Tips -- Understanding main and interaction effects -- Conducting multiple comparisons -- Gold standard and user evaluations -- Recruiting and motivating study participants -- Institutional review board (IRB) approval -- Resources -- Part III Common Mistakes to Avoid -- Avoid bias -- Avoid missing the effect -- Avoid missing variables or conditions -- Other errors to avoid -- Appendix: cookbook for designing user studies in informatics.
  • 2010
    Kaustubh Satyendra Supekar.
    Understanding human brain function is one of the most important endeavors in modern science. There is growing evidence that cognitive functions are executed by large-scale networks, comprising multiple interacting anatomically-connected brain areas. Although considerable progress has been made in understanding which specific brain areas are involved in particular cognitive functions, very little is known about the integrative functioning of large-scale brain networks. This is due in part to the lack of methods to pursue this line of research. This dissertation describes computational methods for detecting and characterizing large-scale human brain networks, combining data from task-free functional magnetic resonance imaging (fMRI) and structural diffusion tensor imaging (DTI), two complementary brain imaging modalities. Application of our methods to task-free fMRI and DTI data obtained from a wide range of subject populations provided new insights into how large-scale human brain networks develop, mature, and get disrupted in psychiatric and neurological disorders. More generally, this work demonstrates the power of our multimodal network-analytic approach to obtain a system-level understanding of brain function across the human lifespan.
  • 2010
    Marina Sirota.
    Autoimmune diseases are painful and debilitating conditions which affect millions of people in the United States and all over the world. At present such conditions are often difficult to diagnose and many have no satisfactory treatment. Given the wealth and availability of genomic data such as genetic variation and gene expression, computational integrative methods provide a powerful opportunity to improve human health by refining the current knowledge about diagnostics, therapeutics and disease mechanism. For instance numerous genome-wide association studies (GWAS) performed across autoimmune diseases, provide a great opportunity to study disease relationships based on genetic variation. Comparing such profiles allows us to quantify allele-specific pair-wise relationships between these diseases to find two broad clusters of autoimmune disease. We furthermore find that certain polymorphisms, toggle SNPs, predispose individuals to one class of autoimmune disease but are protective against the other class. While studying allelic differences between diseases may point to key novel disease-specific genes and pathways, studying similarities across diseases might lead to discovery of common therapeutic options as well as common disease mechanisms. In particular we integrate genetic variation data across several studies to discover the role of a complement factor in Rheumatoid Arthritis and Multiple Sclerosis. Gene expression microarrays are also often used to study human diseases as well as the perturbation of biological systems by drug compounds providing an opportunity to discover novel relationships between diseases and drugs. We present a systematic computational method to predict novel therapeutic indications based on gene expression. We tested our top prediction for Crohn's disease (CD) using the rat model of inflammatory bowel disease (IBD), and successfully demonstrated the predicted efficacy of an anti-seizure drug in treating disease. In this work, we have showed that integrative computational tools can be used to improve diagnostics, learn more about disease mechanism and discover novel therapeutics for autoimmune disease.
  • 2009 Springer
    Nancy B. Finn, William F. Bria.
  • 2015
    Robert Wachter.
    Status: Not Checked OutLane Catalog Record
    For the past few decades, technology has been touted as the cure for all of healthcare's ills, yet medicine stubbornly resisted computerization-- until now. Thanks largely to billions of dollars in federal incentives, healthcare has finally gone digital. Wachter examines healthcare at the dawn of its computer age, and shows how technology is changing care at the bedside. He questions whether government intervention has been useful or destructive-- and does so with clarity, insight, humor, and compassion.
  • 2014 Springer
    Oleg S. Pianykh.
    Making a good diagnostic image is only the beginning; keeping it good and diagnostically sound is a much more difficult proposition, one that is often neglected or forgotten by clinical practitioners. With anything digital, the assumption of persistent original quality opens a Pandora's box of medical fiascos. Poorly selected image interpolation, thoughtlessly used compression, confused image enhancement options and the like can transform a good original into a useless clutter of pixels. This book is dedicated to learning better options.
  • 2012 Springer
    Oleg S. Pianykh.
    Part I. Introduction to DICOM -- 1. What Is DICOM? -- 2. How does DICOM work? 3. Where do you get DICOM from? -- Part II. DICOM and clinical data -- 4. A brief history of DICOM -- 5. Parlez-vous DICOM? 6. Medical images in DICOM -- Part III. DICOM comunications -- 7. DICOM SOPs: Basic 8. DICOM SOPs: Beyond basic -- 9. DICOM associations -- Part IV: DICOM media and security -- 10. DICOM media: files, folders, and DICOMDIRs -- 11. DICOM security -- 12. Incompatibility of compatible -- Part V. Advanced topics -- 13. DICOM and teleradiology -- 14. Standards and system integration in digital medicine -- 15. Disaster PACS planning and management -- 16. DICOM applications: usual and not -- 17. DICOM software development -- 18. DICOM implementation plans -- 19. DICOM FAQs.
  • 2011
    Suchi Saria.
    The current unprecedented rate of digitization of longitudinal health data --- continuous device monitoring data, laboratory measurements, medication orders, treatment reports, reports of physician assessments --- allows visibility into patient health at increasing levels of detail. A clearer lens into this data could help improve decision making both for individual physicians on the front lines of care, and for policy makers setting national direction. However, this type of data is high-dimensional (an infant with no prior clinical history can have more than 1000 different measurements in the ICU), highly unstructured (the measurements occur irregularly, and different numbers and types of measurements are taken for different patients) and heterogeneous (from ultrasound assessments to lab tests to continuous monitor data). Furthermore, the data is often sparse, systematically not present, and the underlying system is non-stationary. Extracting the full value of the existing data requires novel approaches. In this thesis, we develop novel methods to show how longitudinal health data contained in Electronic Health Records (EHRs) can be harnessed for making novel clinical discoveries. For this, one requires access to patient outcome data --- which patient has which complications. We present a method for automated extraction of patient outcomes from EHR data; our method shows how natural languages cues from the physicians notes can be combined with clinical events that occur during a patient's length of stay in the hospital to extract significantly higher quality annotations than previous state-of-the-art systems. We develop novel methods for exploratory analysis and structure discovery in bedside monitor data. This data forms the bulk of the data collected on any patient yet, it is not utilized in any substantive way post collection. We present methods to discover recurring shape and dynamic signatures in this data. While we primarily focus on clinical time series, our methods also generalize to other continuous-valued time series data. Our analysis of the bedside monitor data led us to a novel use of this data for risk prediction in infants. Using features automatically extracted from physiologic signals collected in the first 3 hours of life, we develop Physiscore, a tool that predicts infants at risk for major complications downstream. Physiscore is both fully automated and significantly more accurate than the current standard of care. It can be used for resource optimization within a NICU, managing infant transport to a higher level of care and parental counseling. Overall, this thesis illustrates how the use of machine learning for analyzing these large scale digital patient data repositories can yield new clinical discoveries and potentially useful tools for improving patient care.
  • 2005 ebrary
    Daniel T. Larose.
  • 2012
    Erik Corona.
    In the last 100,000 years, humans have been subjected to multiple different evolutionary pressures. Migration events, changing food sources, climate change, and technological advances are some of the ways environmental changes have applied pressure on human populations to undergo change. Recent advances in methods to measure differences in DNA sequences have led to new powerful techniques to measure the effect of evolution on different human populations. Also due to the availability of recent explosion of genomic data, our understanding of genetic basis of human disease has grown significantly. However, our knowledge regarding the effect that recent evolution has had on the genetic susceptibility to disease has grown to a much lesser extent. There is a lack of studies attempting to place the genetic basis of disease in the context of recent evolutionary changes. I describe multiple ways in which recent evolutionary pressures on the human genome can lead to insights to understanding how evolution has impacted complex disease. I show that GWAS (Genome-Wide Association Studies) are particularly well suited to measure the effect of recent evolution in complex disease. I provide methodology to detect positive selection in human disease and are able to ascertain whether recent evolution has disproportionately increased or decreased the risk of inherited disease. In addition, I introduce a method to approximate when and where genetic risk differentiation for specific disease has occurred, starting when humans began migration out of Africa. Environmental changes in the last 10,000 years known to have created novel, diverse, and pervasive pathogens. I provide methodology to find positive selection in communicable disease. I identify populations that have most likely been severely impacted by specific pathogens in recent human history. I develop and apply methods to identify specific genetic variants important to both communicable and inherited disease that have been affected by evolutionary pressures. I find that type 1 diabetes has recently undergone strong positive selection towards increasing genetic risk in European derived populations. In addition type 2 diabetes and pancreatic cancer is associated with migration trajectories and I find genetic risk differentiation exceeding what is expected by genetic drift in a total of 11 complex diseases. Finally, I find evidence of positive selection in many distinct populations within proteins interacting bacillus anthracis and yersinia pestis, which cause anthrax and the bubonic plague, respectively. I have shown how recent evolution can lead to an increased understanding of both inherited and infectious disease.
  • 2014 Springer
    Antonio Gaddi, Fabio Capello, Marco Manca, editors ; forewords by Sergio Bertolucci and Gianfranco Gensini.
    The debate over eHealth is alive as never before. Supporters suggest that it will result in dramatic innovations in healthcare, including a giant leap towards patient-centered care, new opportunities to improve effectiveness, and enhanced wellness and quality of life. In addition, the growing market value of investments in health IT suggests that eHealth can offer at least a partial cure for the current economic stagnation. Detractors counter these arguments by claiming that eHealth has already failed: the UK Department of Health has shut down the NHS National Program for IT, Google has discontinued its Health flagship, and doubts have arisen over privacy safeguards for both patients and medical professionals. This book briefly explains why caregivers, professionals, technicians, patients, politicians, and others should all consider themselves stakeholders in eHealth. It offers myth-busting responses to some ill-considered arguments from both sides of the trench, in the process allowing a fresh look at eHealth. In addition, it describes how the technical failures of previous eHealth systems can be avoided, examines the legal basis of eHealth, and discusses associated ethical issues.
  • 2008 Springer
    edited by Michael Christopher Gibbons.
    An overview of healthcare disparities -- Provider factors in healthcare disparities -- Patient factors in healthcare disparities -- Healthcare system factors in healthcare disparities -- The social "nonmedical" determinants of health -- The role of the Internet in American life -- The iHealth revolution -- Digital disparities -- The role of eHealth in patient engagement and quality improvement -- Medical informatics -- Public health informatics -- Beyond traditional paradigms in disparities research -- Health information technology policy perspectives and healthcare disparities -- Disparities and eHealth: achieving the promise and the potential.
  • 2013 Wiley
    Pradeep Sinha, Gaur Sunder, Prashant Bendale, Manisha Mantri, Atreya Dande.
    "Discover How Electronic Health Records Are Built to Drive the Next Generation of Healthcare Delivery. The increased role of IT in the healthcare sector has led to the coining of a new phrase 'health informatics, ' which deals with the use of IT for better healthcare services. Health informatics applications often involve maintaining the health records of individuals, in digital form, which is referred to as an Electronic Health Record (EHR). Building and implementing an EHR infrastructure requires an understanding of healthcare standards, coding systems, and frameworks. This book provides an overview of different health informatics resources and artifacts that underlie the design and development of interoperable healthcare systems and applications. Electronic Health Record: Standards, Coding Systems, Frameworks, and Infrastructures compiles, for the first time, study and analysis results that EHR professionals previously had to gather from multiple sources. It benefits readers by giving them an understanding of what roles a particular healthcare standard, code, or framework plays in EHR design and overall IT-enabled healthcare services along with the issues involved. This book on Electronic Health Record: Offers the most comprehensive coverage of available EHR Standards including ISO, European Union Standards, and national initiatives by Sweden, the Netherlands, Canada, Australia, and many others; Provides assessment of existing standards; Includes a glossary of frequently used terms in the area of EHR; Contains numerous diagrams and illustrations to facilitate comprehension; Discusses security and reliability of data."--Publisher's description.
  • 2014 CRCnetBASE
    edited by Dean F. Sittig, PhD.
    Part 1. Introduction -- part 2. Identifying and preventing EHR safety concerns -- part 3. EHR users and usability -- part 4. Clinical decision support -- part 5. Referrals -- part 6. Laboratory test result management -- part 7. Bar coded medication administration -- part 8. Computer-based provider order entry.
  • 2010 Springer
    Charles A. Shoniregun, Kudakwashe Dube, Fredrick Mtenzi.
    Introduction to e-Healthcare Information Security / Charles A. Shoniregun, Kudakwashe Dube and Fredrick Mtenzi -- Securing e-Healthcare Information / Charles A. Shoniregun, Kudakwashe Dube and Fredrick Mtenzi -- Laws and Standards for Secure e-Healthcare Information / Charles A. Shoniregun, Kudakwashe Dube and Fredrick Mtenzi -- Secure e-Healthcare Information Systems / Charles A. Shoniregun, Kudakwashe Dube and Fredrick Mtenzi -- Towards a Comprehensive Framework for Secure e-Healthcare Information / Charles A. Shoniregun, Kudakwashe Dube and Fredrick Mtenzi -- Towards a Unified Security Evaluation Framework for e-Healthcare Information Systems / Charles A. Shoniregun, Kudakwashe Dube and Fredrick Mtenzi -- Discussions / Charles A. Shoniregun, Kudakwashe Dube and Fredrick Mtenzi.
  • 2008 Springer
    George P. Rédei.
    v. 1. A-L -- v. 2. M-Z.
  • 2003 ScienceDirect
    editor-in-chief, Hossein Bidgoli.
  • 2011
    Chirag Jagdish Patel.
    Common diseases arise out of combination of both genetic and environmental influences. Advances in genomic technology have enabled investigators to create hypotheses regarding the contribution of genetic factors at a breathtaking pace. However, the assessment of multiple and specific environmental factors--and their interactions with the genome-- has not. We lack high-throughput analytic methodologies to comprehensively and systematically associate multiple physical and specific environmental factors, or the "envirome", to disease and human health. We claim that the creation of hypotheses regarding the environmental contribution to disease is practicable through high-throughput analytic methods that have been well established in genomics. In the following dissertation, we develop and apply methods to systematically and comprehensively associate specific factors of the envirome with disease states, prioritizing factors for in-depth future study. The current disciplines of studying the environmental determinants of health include toxicology and epidemiology, which operate on molecular and population scales, respectively. This dissertation proposes approaches in both of these disciplines. For example, we have developed a framework to conduct the first "Environment-wide Association Study" (EWAS), systematically associating environmental factors to disease on a population scale. We have applied this framework to investigate type 2 diabetes and heart disease on cohorts that are representative United States population, finding novel and robust associations in diverse and independent cohorts. Given the lack of explained risk resulting from current day genome-wide studies, the time is ripe to usher in a more comprehensive study of the environment, or "enviromics", toward better understanding of multifactorial diseases and their prevention.
  • 2015 Cambridge
    Kenneth W. Goodman.
    Information technologies and 21st-century clinical practice : ethics and the electronic health record -- Ancient professions and intelligent machines : the ethical challenge of computational decision support -- Health privacy, data protection, and trust -- Professionalism, programming, and pedagogy -- Safety, standards, and interoperability -- The e-health industry : markets, vendors, and regulators -- Digital health : ubiquitous, virtual, remote, robotic -- Biomedical research from genomes to populations : big data and the growth of knowledge.
  • 2012
    Wei-Nchih Lee.
    Entrusted with providing high quality and cost-effective care across the continuum of primary care to quaternary care medicine, health care institutions are turning to electronic medical records to keep pace with the information demands of medicine. The new patient care data collected within electronic medical records provides the computational foundation to build the rapid learning health care system, in which the delivery of health care within an entire institution improves dynamically by transforming the data into knowledge about which clinical practices are most effective. A crucial component to the rapid learning health care system is an understanding of clinical practice variations in medicine. Individual variations in care reflect decision choices of the treating clinician(s). Taken across an entire population, practice variations offer valuable insight on the behaviors and beliefs of an institution. Devising strategies and policies to improve the quality and efficiency of health care would not be possible without the knowledge that studying practice variations provide. Yet, existing methods for measuring clinical practice variations are not designed to handle temporal complexity. They focus on a small set of practices, of limited duration, and with limited scope. With the data that electronic medical records can provide, we have an opportunity to evaluate temporal complexity in medicine by studying patterns of care and entire treatment histories for a population of patients. In this thesis, I present a method, the T3S, for measuring the temporal sequence similarity between two patterns of care. The T3S advances research in temporal data mining by providing methodology that allows for the measurement of complex temporal features in clinical care. Specifically, the T3S measures the similarity of patterns in terms of the temporal ordering, duration, and overlap of its constituent treatments. I implement the T3S in three novel tools that allow population-level clinical practice variations to be studied from electronic medical records. To begin with, I use the T3S with expert derived domain knowledge to match medication treatment data from the medical record to chemotherapy plans so that patterns of care can be abstracted from granular medical data. This automated method for medical record abstraction of treatment information is a crucial first step before clinical data can be analyzed. Next, I use the T3S to find similar patterns of care from an electronic medical record to recommendations from a clinical practice guideline. The evaluation of individual patterns of care against evidence-based guidelines is an important task of health services related outcomes research. Finally, I incorporate the T3S into a new method for discovering patterns of care from a population of treatment histories. I show how this method can be used to summarize the clinical practice patterns within a population cohort and even discover anomalous practice patterns that may be of interest to clinicians and health services researchers. I evaluate each of these methods for its ability to provide clinically meaningful results from the available treatment data. Taken together, the T3S and the methods in which it is implemented offer a novel framework from which temporal complexities in the practice of medicine can be meaningfully explored. Finding and discovering similar patterns of care offers substantial potential in quality of care, outcomes, and comparative effectiveness research. As medicine marches to the digital age of data, measuring temporal similarity will assume a critical role in the development of new informatics methods to address the challenges of population science.
  • 2005 Springer
    James G. Anderson, Carolyn E. Aydin, editors.
    Overview: theoretical perspectives and methodologies for the evaluation of healthcare information systems -- Qualitative research methods for evaluating computer information systems -- Multiple perspectives: evaluating healthcare information systems in collaborative environments -- Survey methods for assessing social impacts of computers in healthcare organizations -- Using the Internet for surveys and research -- Cognitive approaches to the evaluation of healthcare information systems -- Work-sampling: a statistical approach to evaluation of the effect of computers on work patterns in health care -- Evaluation of health informatics: social network analysis -- Evaluation in health informatics: computer simulation -- Computers in the consulting room: a case study of clinician and patient perspectives -- Introducing physician order entry at a major academic medical center, A: Impact on organizational culture and behavior, B: Impact on medical education -- Evaluating the capability of information technology to prevent adverse drug events: a computer simulation approach -- Implementing computers in ambulatory care: implications of physician practice patterns for system design -- Nursing documentation time during implementation of an electronic medical record -- Computer charting: an evaluation of a respiratory care computer system -- Research and evaluation: future directions.
  • 2006 Springer
    Charles P. Friedman, Jeremy C. Wyatt ; foreword by Edward H. Shortliffe ; with contributions by Joan S. Ash, Allen C. Smith III, P. Zoë Stavri, and Mark S. Roberts.
    Challenges of Evaluation in Biomedical Informatics, p. 1-20 -- Evaluation as a Field, p. 21-47 -- Determining What to Study, p. 48-84 -- The Structure of Objectivist Studies, p. 85-112 -- Measurement Fundamentals, p. 113-144 -- Developing and Improving Measurement Methods, p. 145-187 -- The Design of Demonstration Studies, p. 188-223 -- Analyzing the Results of Demonstration Studies, p. 224-247 -- Subjectivist Approaches to Evaluation, p. 248-266 -- Performing Subjectivist Studies in the Qualitative Traditions Responsive to Users / Joan Ash, Allen Smith and P. Starvi, p. 267-300 -- Economic Aspects of Evaluation / Mark Roberts, p. 301-337 -- Proposing and Communicating the Results of Evaluation Studies: Ethical, Legal, and Regulatory Issues, p. 338-361.
    Also available: Print – 2006
  • 2006 Springer
    Donald R. Forsdyke.
    Also available: Print – 2006
  • 2013 RAND Health
    the RAND Corporation: Mark William Friedberg, Peggy G. Chen, Kristin R. Van Busum, Frances Aunon, Chau Pham, John Caloyeras, Soeren Mattke, Emma Pitchforth, Denise D. Quigley, Robert H. Brook ; American Medical Association: F. Jay Crosson, Michael Tutty.
    One of the American Medical Association's core strategic objectives is to advance health care delivery and payment models that enable high-quality, affordable care and restore and preserve physician satisfaction. Such changes could yield a more sustainable and effective health care system with highly motivated physicians. To that end, the AMA asked RAND Health to characterize the factors that lead to physician satisfaction. RAND sought to identify high-priority determinants of professional satisfaction that can be targeted within a variety of practice types, especially as smaller and independent practices are purchased by or become affiliated with hospitals and larger delivery systems. Researchers gathered data from 30 physician practices in six states, using a combination of surveys and semistructured interviews. This report presents the results of the subsequent analysis, addressing such areas as physicians' perceptions of the quality of care, use of electronic health records, autonomy, practice leadership, and work quantity and pace. Among other things, the researchers found that physicians who perceived themselves or their practices as providing high-quality care reported better professional satisfaction. Physicians, especially those in primary care, were frustrated when demands for greater quantity of care limited the time they could spend with each patient, detracting from the quality of care in some cases. Electronic health records were a source of both promise and frustration, with major concerns about interoperability between systems and with the amount of physician time involved in data entry.
  • 2016 Springer
    Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans [editors].
  • 2005 Springer
    Gabriele A. Losa ... [et al.], editors.
  • 2008 CRCnetBASE
    edited by Sergey Ilyin.
    Intelligent automation / James M. Dixon -- Neurally inspired algorithms as computational tools / Mark Flynn and Garrett T. Kenyon -- Using pharmacodynamic biomarkers to accelerate early clinical drug development / Ole Vesterqvist -- Opportunities in CNS drug discovery and development / Albert Pinhasov ... [et al.] -- Clinical success of antibody therapeutics in oncology / Bernard J. Scallon ... [et al.] -- Relating target sequence to biological function / Greg M. Arndt -- Use of protein microarrays for molecular network analysis and signal-pathway profiling / Katherine R. Calvo, Lance A. Liotta, and Emanuel F. Petricoin -- Laser-microdissection-based transcriptomics using microarrays / Fredrik Kamme ... [et al.].
  • 2007 Springer
    Elisabeth Rakus-Andersson.
  • 2006 ebrary
    Brian R. Hunt, Ronald L. Lipsman, Jonathan M. Rosenberg, with Kevin R. Coombes, John E. Osborn, and Garrett J. Stuck.
    Also available: Print – 2006
  • 2013 CRCnetBASE
    author, Khaled El Emam.
    "Foreword Personal health information comprises the most sensitive and intimate details of one's life, such as those relating to one's physical or mental health, and the health history of one's family. Intuitively, we understand the importance of protecting health information in order to ensure the confidentiality of such personal data and the privacy of the individual to whom it relates. Personal health information must also be accurate, complete, and accessible to health care practitioners in order to provide individuals with necessary health care. At a broader level, for secondary uses that go beyond the treatment of the individual, health-related data are needed for the benefit of society as a whole. These vitally important secondary uses include activities to improve the quality of care, health research, and the management of publicly funded health care systems. As the information and privacy commissioner of Ontario, Canada, my role includes the oversight of health privacy legislation governing the collection, use, and disclosure of personal health information by organizations and individuals involved in the delivery of health care services. Ontario's Personal Health Information Protection Act (PHIPA) aims to respect an individual's right to privacy in relationship to his or her own personal health information while accommodating the legitimate need to access health information for well-defined purposes. PHIPA does this in part by establishing clear rules for the use and disclosure of personal health information for secondary purposes. The object of these rules is to maximize the benefits of both respecting personal privacy and making health information accessible for purposes that serve society as a whole"--Provided by publisher.
  • Click LINK above for Print location/circulation status.
    2006 CRCnetBASE
    edited by Stephan Olariu, Albert Y. Zomaya.
  • 2010 CRCnetBASE
    edited by Jean-Loup Faulon, Andreas Bender.
    Chapter 1. Representing Two-Dimensional (2D) Chemical Structures with Molecular Graphs / Ovidiu Ivanciuc -- Chapter 2. Algorithms to Store and Retrieve Two-Dimensional (2D) Chemical Structures / Milind Misra, Jean-Loup Faulon -- Chapter 3. Three-Dimensional (3D) Molecular Representations / Egon L. Willighagen -- Chapter 4. Molecular Descriptors / Nikolas Fechner, Georg Hinselmann, Jor̈g Kurt Wegner -- Chapter 5. Ligand- and Structure-Based Virtual Screening / Robert D. Clark, Diana C. Roe -- Chapter 6. Predictive Quantitative Structure-Activity Relationships Modeling: Data Preparation and the General Modeling Workflow / Alexander Tropsha, Alexander Golbraikh -- Chapter 7. Predictive Quantitative Structure-Activity Relationships Modeling: Development and Validation of QSAR Models / Alexander Tropsha, Alexander Golbraikh -- Chapter 8. Structure Enumeration and Sampling / Markus Meringer -- Chapter 9. Computer-Aided Molecular Design / Donald P. "Visco, Jr." -- Chapter 10. Computer-Aided Molecular Design / Diana C. Roe -- Chapter 11. Reaction Network Generation / Jean-Loup Faulon, Pablo Carbonell -- Chapter 12. Open Source Chemoinformatics Software and Database Technologies / Rajarshi Guha -- Chapter 13. Sequence Alignment Algorithms / Tatsuya Akutsu -- Chapter 14. Machine Learning-Based Bioinformatics Algorithms / Shawn Martin -- Chapter 15. Using Systems Biology Techniques to Determine Metabolic Fluxes and Metabolite Pool Sizes / Fangping Mu, Amy L. Bauer, James R. Faeder, William S. Hlavacek.
  • 2006 CRCnetBASE
    SU Catalog (SearchWorks) Click LINK above for Print location/circulation status.
    edited by Srinivas Aluru.
  • 2006 ScienceDirect
    Jytte Brender.
    Conceptual apparatus -- Types of user assessments of IT-based solutions -- Choosing or constructing methods -- Overview of assessment methods -- Descriptions of methods and techniques -- Other useful information -- Methodological and methodical perils and pitfalls at assessment, background information -- Approach to identification of pitfalls and perils -- Framework for meta-assessment of assessment studies.
  • 2005 Springer
    Scott M. Strayer, Peter L. Reynolds, Mark H. Ebell, editors.
    Also available: Print – 2005
  • 2013 Wiley
    Jason Burke.
    "A hands-on, analytics road map for health industry leadersThe industry-wide transformation taking place across the health and life sciences ecosystem is mandating that organizations adopt new decision-making capabilities, based on science and real-world information. Analytics will be a required competency for the modern health enterprise; this book is about how to "cross the chasm." The ultimate analytics guide for the health industry leader, this essential book equips business leaders with little-to-no experience in analytics to understand how to incorporate analytics as a cornerstone of their 21st century competitive business strategy. Paints the picture for a new health enterprise, one focused on the patient Explores the financial components of this new operating model, using analytics to optimize the tradeoffs between cost and value Deals with the rising role of the consumer, using analytics to create a completely new health engagement model with individual recipients of care Looks at how analytics can drive innovations in care practice, patient-experienced medical outcomes, and analytically driven novel therapies optimized for the individual patient Presents a variety of text, tables, and graphics illustrating the various concepts being described Within each section and chapter, Health Analytics assesses the current landscape, proposing a new model/concept, sharing real-world stories of how the old and new world come together, and framing a "how-to" for the reader in terms of growing that particular set of capabilities in their own enterprises"-- Provided by publisher.
  • 2013 ebrary
    Karen A. Wager, Frances Wickham Lee, John P. Glaser.
    "The revised third edition of Health Care Information Systems is a comprehensive text that offers an understanding of health care information systems that helps readers work effectively with and support information systems design, as well as the development and implementation. It covers current and developing information systems of interest to managers in health services organizations; health care information systems architecture; security and privacy issues; uses of health care information for clinical and strategic analysis and decision support; techniques for developing and evaluating an information system request for proposal; and information on the future"--Provided by publisher.
  • 2013
    Arthur Peabody, Jr., editor.
    Electronic health records : how they work, what they document and how they advance patient care / Don Quackenbush -- Electronic health records : selecting the EHR solution and negotiating the licensing agreement / Lee Kim -- Regional extension centers : "boots on the ground" support of EHR technology in small physician practices / Nathan Gibson, Nicholas P. Heesters, Jr., and Adam Kehler -- Personal health records and patient portals : leveraging technology to empower and engage patients / Stephen A. Snyder -- Health information exchange : a critical foundation to improve health care value / Kate Berry and Jon Dimsdale -- Telemedicine : an expanding frontier in patient care / Mary P. Maiberger -- Electronic health and mobile health medical technology : platforms of innovation / Afia K. Asamoah [and 3 others] -- Medical devices in the digital age / David J. Sykeman [and 3 others] -- The role of social media in health care : the trend toward health care consumerism / Kathryn R. Coburn -- 9/11 : a personal experience / Linda V. Tiano -- Contingency planning for health plans and providers : lessons from 9/11 / Linda V. Tiano and Daly D.E. Temchine -- The evolution of HIPAA : protecting the privacy of individuals in their physician's office, in the hospital, at the lab, as a subject of research, and throughout the world / Arthur E. Peabody, Jr. -- Electronic health records : technology standards and incentives for meaningful use / Arthur E. Peabody, Jr. -- The federal data breach notification law for breaches of protected health information / Arthur E. Peabody, Jr. and Lucy J. Thomson -- Safety risks associated with EHRs : how real? / Arthur E. Peabody, Jr. -- Health care data breaches and information security : addressing threats and risks to patient data / Lucy L. Thomson -- Data encryption : essential to afford security and privacy in health care / Eric A. Hibbard -- Enforcement under HIPAA and HITECH : why you need to worry again about HIPAA / Sarah E. Swank -- Enforcing HIPAA in the age of electronic health records : the view of the Office of Civil Rights from its director / Leon Rodriguez.
  • 2006
    Rowena Cullen.
    Status: Not Checked OutLane Catalog Record
    Health information on the Internet -- The structures of knowledge related to health information on the Internet -- Accessing health information on the Internet -- Quality -- Physicians and other health professionals' use of the Internet -- Consumer health information on the Internet -- Telemedicine and online medical services -- Future trends and challenges.
  • 2016 Springer
    Adrian Stavert-Dobson.
    Introduction -- Standards and Quality Management in Health IT -- The Nature of Risk and Safety -- Acceptability and Ownership of Risk -- The Safety Management System -- Undertaking a Clinical Risk Management Project -- The Scope of Clinical Risk Management -- The Hazardous Environment -- Failure of Health IT -- A Framework for Hazards in Health IT Systems -- Structuring the Hazard Register -- Populating the Hazard Register -- Estimating and Evaluating Clinical Risk -- Developing Control Strategies -- Software Testing in Clinical Risk Management -- Gathering Evidence for the Safety Case -- Developing the Safety Case -- Handling Faults in Live Service -- The Safety Case in Live Service -- Availability and Performance -- Evidencing Competency -- Language and Writing Style.
  • 2014 CRCnetBASE
    Divya Srinivasan Sridhar.
    Theoretical underpinnings : comparing the PPACA and HITECH acts -- Impact of E-government on electronic health literacy -- Financial, social, and environmental impact of government HITadoption policies -- Self-management technologies and type 2 diabetes -- Individualized prevention solutions to childhood obesity -- Health IT in community health centers -- Case study of physicians as entrepreneurs -- The micro, meso, and macro perspectives of HIT adoption -- Geographic disparities in healthcare -- International comparisons: differences in U.K. and U.S. preventive health.
  • 2010 CRCnetBASE
    edited by Stephan P. Kudyba.
    An introduction to the US health care industry, information technology, and informatics / by Stephan Kudyba, Richard Temple -- "Quality time" in healthcare : strategies for achieving national goals for meaningful use of health information technology / by Michael H. Zaroukian, Peter Basch -- A project management framework for healthcare informatics initiatives / by Christi Rushnell, Mary Beattie -- Nursing roles in the implementation of clinical information systems / by Terry Moore -- Architecting computerized physician order entry (CPOE) for optimal utilization / by James F. Keel III, D. Arlo Jennings -- Knowledge translation and informatics in healthcare / by Ann McKibbon -- Self service technology in healthcare / by Tomas Gregorio -- The world of health analytics / by Jason Burke -- Enhancing data resources and business intelligence in healthcare / by Stephan Kudyba, Mark Rader -- Application of healthcare informatics to improving patient safety and outcomes : learning from the experiences of Trinity Health / by Rajiv Kohli ... [et al.] -- Data mining in health care / by Wullianallur Raghupathi -- Using data mining to build alerting systems for decision support in healthcare / by Billie Anderson, Cali M. Davis, J. Michael Hardin -- Data mining techniques to enhance health care cost savings through the identification of abusive billing practices and the optimization of care enhancement services / by Theodore L. Perry ... [et al.].
  • 2016 Springer
    Charlotte A. Weaver, Marion J. Ball, George R. Kim, Joan M. Kiel, editors.
    1. Clinical decision support: history and basic concepts -- 2. Electronic health record features, functions, and privileges that clinicians need to provide safe and effective care for adults and children -- 3. The journey to usability: a vendor's perspective -- 4. Snapshot at mid-stride: current state of EHRs and their use by clinicians from a CMIO's perspective -- 5. The evolution of EHR-S functionality for care and coordination -- 6. Great promises of healthcare information technology deliver less -- 7. Ten reasons why interoperability is difficult -- 8. The evolution of health information technology policy in the United States -- 9. Usability: making it real from concepts to implementation and end-user adoption -- 10. Incorporating patient generated health data into chronic disease management: a human factors approach -- 11. Transformed roles for a transformed healthcare system: where do clinical informaticists fit in now? -- 12. Emerging roles in health and healthcare -- 13. Impact of the digital age on transforming healthcare -- 14. Health information crossroad: an opportunity to deliver real measurable outcomes for better health and well being -- 15. Health IT"s essential role in the patient-centered medical home and practice-based population health management -- 16. Patient-interactive healthcare management, a model for achieving patient experience excellence -- 17. The patient of the future: participatory medicine and enabling technologies -- 18. Data driven patient safety and clinical information technology -- 19. Simulation: a view into the future of education -- 20. The health record banking model for health information infrastructure -- 21. Next generation wellness: a technology model for personalizing healthcare -- 22. Wearable technologies and telehealth in care management for chronic illness -- 23. The role of big data and analytics in health payer transformation to consumer-centricity -- 24. Interoperability: E pluribus unum -- 25. Privacy and data security: HIPAA and HITECH -- 26. Building a reliable and affordable system fo medical care -- 27. Engineering the next generation of health systems -- 28. Emerging clinical decision support technology for the twenty first century -- 29. Beyond current HIMS: future visions and a roadmap -- 30. Big data analytical technologies and decision support in critical care -- 31. Data driven analytics for personalized healthcare -- 32. Cognitive computing for electronic medical records -- 33. Health information systems 2025.
  • 2011 Springer
    Bruce R. Schatz, Richard B. Berlin.
    The Evolution of Healthcare Infrastructure -- History of Health Determinants -- Public Health Success When Simple -- Public Health Failure When Complex -- Medicine Success When Simple -- Medicine Failure When Complex -- Medical Records for Health Systems -- Health Determinants for Individuals and Populations -- Measurement of Individual Activity (Explicit Text) -- Sensors for Individual Ability (Implicit Data) -- Genomes for Individual Ability (Features) -- Networks for Population Function (Persons) -- Mobile Monitors for Health Systems -- The Future of Healthcare Infrastructure.
  • 2014 Springer
    Harris G. Fienberg, Garry P. Nolan, editors.
    This volume highlights the most interesting biomedical and clinical applications of high-dimensional flow and mass cytometry. It reviews current practical approaches used to perform high-dimensional experiments and addresses key bioinformatic techniques for the analysis of data sets involving dozens of parameters in millions of single cells. Topics include single cell cancer biology; studies of the human immunome; exploration of immunological cell types such as CD8+ T cells; decipherment of signaling processes of cancer; mass-tag cellular barcoding; analysis of protein interactions by proximity ligation assays; Cytobank, a platform for the analysis of cytometry data; computational analysis of high-dimensional flow cytometric data; computational deconvolution approaches for the description of intracellular signaling dynamics; and hyperspectral cytometry. All 10 chapters of this book have been written by respected experts in their fields. It is an invaluable reference book for both basic and clinical researchers.
    Also available: Print – 2014
  • 2015 Springer
    Morris F. Collen, Marion J. Ball, editors.
    This is a meticulously detailed chronological record of significant events in the history of medical informatics and their impact on direct patient care and clinical research, offering a representative sampling of published contributions to the field. The History of Medical Informatics in the United States has been restructured within this new edition, reflecting the transformation medical informatics has undergone in the years since 1990. The systems that were once exclusively institutionally driven - hospital, multihospital, and outpatient information systems - are today joined by systems that are driven by clinical subspecialties, nursing, pathology, clinical laboratory, pharmacy, imaging, and more. At the core is the person - not the clinician, not the institution - whose health all these systems are designed to serve. A group of world-renowned authors have joined forces with Dr Marion Ball to bring Dr Collen's incredible work to press. These recognized leaders in medical informatics, many of whom are recipients of the Morris F. Collen Award in Medical Informatics and were friends of or mentored by Dr Collen, carefully reviewed, editing and updating his draft chapters. This has resulted in the most thorough history of the subject imaginable, and also provides readers with a roadmap for the subject well into later in the century.
  • 2006
    Ilias G. Maglogiannis, Kostas Karpouzis, Manolis Wallace.
    E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview of the fields of image and signal processing for networked and distributed e-health applications and their supporting technologies. The book is structured in 10 chapters, starting the discussion from the lower end, that of acquisition and processing of biosignals and medical images and ending in complex virtual reality systems and techniques providing more intuitive interaction in a networked medical environment. The book also discusses networked clinical decision support systems and corresponding medical standards, WWW-based applications, medical collaborative platforms, wireless networking, and the concepts of ambient intelligence and pervasive computing in electronic healthcare systems.
  • 2008 Springer
    edited by Christian Schönbach, Shoba Ranganathan, and Vladimir Brusic.
    IMGT-ONTOLOGY, IMGT databases, tools, and web resources for immunoinformatics / Marie-Paule Lefranc -- IMGT standardization for molecular characterization of the T cell receptor/peptide/MHC complexes / Quentin Kaas ... [et al.] -- Structural immunoinformatics / Choba Ranganathan, Joo Chuan Tong, and Tin Wee Tan -- In silico QSAR-based predictions of class I and class II MHC epitopes / Channa K. Hattotuwagama ... [et al.] -- Allergen bioinformatics / Bernett T.K. Lee and Vladimir Brusic -- Immunoinformatics applied to modifying and improving biological therapeutics / Anne S. De Groot ... [et al.] -- Plasticity of dentritic cell transcriptional responses to antigen: functional states of dendritic cells / Paul Kellam and Antonia Kwan -- Understanding the immune system sytem by computer-aided modeling / Massimo Bernaschi and Filippo Castiglione -- Simulation of HIV-1 molecular evolution in response to chemokine coreceptors and antibodies / Jack da Silva -- MUTANT MOUSE: bona fide biosimulator for the functional annotation of gene and genome networks / Yoichi Gondo.
  • 2007 Springer Protocols
    edited by Darren R. Flower.
  • 2014 Springer Protocols
    edited by Rajat K. De, Namrata Tomar.
    Part I: Immunoinformatics: transition from basic biology to informatics -- 1. A brief outline of the immune system / Namrata Tomar and Rajat K. De -- 2. Crosstalk between the metabolic and immune systems / Namrata Tomar and Rajat K. De -- 3. Immunoinformatics: a brief review / Namrata Tomar and Rajat K. De -- Part II: Databases -- 4. Immunoinformatics of the V, C and G domains: IMGT® definitive system for IG, TR and IgSF, MH and MhSF / Marie-Paule Lefranc -- 5. IMGT/HLA and the immuno polymorphism database / James Robinson, Jason A. Halliwell, and Steven G.E. Marsh -- 6. Databases for T-cell epitopes / Chun-Wei Tung -- 7. Databases for B-cell epitopes / Juan Liu and Wen Zhang -- 8. Antigen-Antibody Interaction Database (AgAbDb): a compendium of antigen-antibody interactions / Urmila Kulkarni-Kale, Snehal Raskar-Renuse, Girija Natekar-Kalantre, and Smita A. Saxena -- 9. Allergen databases / Gaurab Sircar, Debasree Sarkar, Swati Gupta Bhattacharya, and Sudipto Saha -- Part III: Tools for prediction -- 10. Prediction of conformational B-cell epitopes / Wen Zhang, Yanqing Niu, Yi Xiong, and Meng Ke -- 11. Computational prediction of B cell epitopes from antigen sequences / Jianzhao Gao and Lukasz Kurgan -- 12. Machine learning based methods for prediction of linear B-cell epitopes / Hsin-Wei Wang and Tun-Wen Pai -- 13. Mimotope-based prediction of B-cell epitopes / Jian Huang, Bifung He, and Peng Zhou -- 14. Hybrid methods for B-cell epitope prediction: approaches to the development and utilization of computational tools for practical applications / Salvador Eugenio C. Caoili -- 15. Building classifier ensembles for B-cell epitope prediction / Yasser El-Manzalawy and Vasant Honavar -- 16. Multiplex peptide-based B-cell epitope mapping / Sanne M.M. Hensen, Merel Derksen, and Ger J.M. Pruijn -- 17. Classification of Human Leukocyte Antigen (HLA) supertypes / Mingjun Wang and Mogens H. Claesson -- 18. Customized predictions of peptide-MHC binding and T-cell epitopes using EPIMHC / Magdalena Molero-Abraham, Esther M. Lafuente, and Pedro Reche -- 19. T-cell epitope prediction methods: an overview / Dattatraya V. Desai and Urmila Kulkarni-Kale -- 20. Computational antigenic epitope prediction by calculating electrostatic desolvation penalties of protein surfaces / Sebastien Fiorucci and Martin Zacharias -- 21. In silico prediction of allergenic proteins / Gaurab Sircar, Bodhisattwa Saha, Swati Gupta Bhattacharya, and Sudipto Saha -- 22. Prediction of virulence factors using bioinformatics approaches / Rupanjali Chaudhuri and Srinivasan Ramachandran -- Part IV: Systems biology approaches in immunoinformatics -- 23. A systems biology approach to study systemic inflammation / Bor-Sen Chen and Chia-Chou Wu -- 24. Procedures for mucosal immunization and analyses of cellular immune response to candidate HIV vaccines in murine and nonhuman primate models / Shailbala Singh, Pramod Nehete, Patrick Hanley, Bharti Nehete, Guojun Yang, Hong He, Scott M. Anthony, Kimberly Schluns, and K. Jagannadha Sastry -- 25. Immunoinformatics and systems biology in personalized medicine / Guillermo Lopez-Campos, Jesús F. Bermejo-Martin, Raquel Almansa, and Fernando Martin-Sanchez -- Part V: Applications of immunoinformatics -- 26. The role of small RNAs in vaccination / Ajeet Chaudhary and Sunil Kumar Mukherjee -- 27. Structure-based clustering of Major Histocompatibility Complex (MHC) proteins for broad-based T-cell vaccine design / Joo Chuan Tong, Tin Wee Tan, and Shoba Ranganathan -- 28. Immunoinformatics, molecular modeling, and cancer vaccines / Seema Mishra and Subrata Sinha -- 29. Investigating host pathogen behavior and their interaction using genome-scale metabolic network models / Priyanka P. Sadhukhan and Anu Raghunathan -- 30. Mathematical models of HIV replication and pathogenesis / Dominik Wodarz.
  • 2013 ebrary
    2013 CRCnetBASE
    Divya Srinivasan.
    HIPAA : stakeholder impacts and effects of provisions of the HITECH Act -- Organizational culture : what is needed to adopt HIT across different types of hospitals? -- Health economics : organizational finance and healthcare IT -- Cost benefit analysis and funding EMRs -- Analyzing the presence of EMRs across different health providers -- EMR impacts on quality of care and cost to the patient -- The physician and perceptions : medical malpractice and impacts from HIT usage -- Reduction in bioterrorism through the usage of EMRs -- The direction of health informatics and the future : the E-health industry.
  • 2005 Springer
    James M. Walker, Eric J. Bieber, Frank Richards, editors ; with the collaboration of Sandra A. Buckley.
    Organizational climate -- Needs assessment -- Vendor selection and contract negotiation -- Infrastructure -- Workflow assessment and redesign -- Staffing and managing implementation teams -- Usability -- Training -- Clinical decision support -- Translating scope of practice into effective EHR workflows -- System integration -- Production support -- Managing the client-vendor partnership -- Phased implementation -- Optimizing primary-care practices -- Special-purpose software -- Optimizing inpatient care -- Extending EHR access to patients -- Extending EHR access to external physicians -- Summary and prospects.
  • 2012
    Jerome A. Osheroff, Jonathan M. Teich, Donald Levick, Luis Saldana, Ferdinand T. Velasco, Dean F. Sitting, Kendall M. Rogers, Robert A. Jenders.
    Status: Not Checked OutLane Catalog Record
  • 2007 Springer
    edited by Darren Flower and Jon Timmis.
  • 2010 Springer
    Vitali Sintchenko, editor.
    Informatics for infectious disease research and control -- Bioinformatics of microbial sequences -- Mining databases for microbial gene sequences -- Comparative genomics of pathogens -- Systems microbiology: gaining insights in transcriptional networks -- Host-pathogen systems biology -- Text mining for discovery of host-pathogen interactions -- Network approach to understanding pathogen population structure -- Computational epitope mapping -- Pangenomic reverse vaccinology -- Immunoinformatics: the next step in vaccine design -- Understanding the shared bacterial genome -- Computational grammars for interrogation of genomes -- In silico discovery of chemotherapeutic agents -- Informatics for healthcare epidemiology -- Automated, high-throughput surveillance systems for public health -- Microbial genotyping systems for infection control -- Temporal and spatial clustering of bacterial genotypes -- Infectious disease ontology -- Populations, patients, germs and genes: ethics of genomics and informatics in communicable disease control.
  • 2014 Springer
    Eta S. Berner, editor.
    This book reviews and defines the current state of the art for informatics education in medicine and health care. This field has undergone considerable change as the field of informatics itself has evolved. Twenty years ago almost the only individuals involved in health care who had even heard the term "informatics" were those who identified themselves as medical or nursing informaticians. Today, we have a variety of subfields of informatics including not just medical and nursing informatics, but informatics applied to specific health professions (such as dental or pharmacy informatics), as well as biomedical informatics, bioinformatics and public health informatics. Informatics Education in Health Care addresses the broad range of informatics education programs available today. The Editor and very experienced internationally recognized informatics educators who have contributed to this work have made the tacit knowledge explicit and shared some of the lessons they have learned. This book therefore represents the key reference for all involved in the informatics education whether they be trainers or trainees.
  • 2005 Springer
    editor, Daniel F. Cowan.
  • 2012 CRCnetBASE
    edited by George C. Kagadis, Steve G. Langer.
    Ontologies in the radiology department / Dirk Marwede -- Informatics constructs / Steve G. Langer -- Health level 7 imaging integration / Helmut König -- DICOM / Steven C. Horii -- Integrating the healthcare enterprise IHE / Steve G. Langer -- Operating systems / Christos Alexakos and George C. Kagadis -- Networks and networking / Christos Alexakos and George C. Kagadis -- Storage and image compression / Craig Morioka, Frank Meng, and Ioannis Sechopoulos -- Displays / Elizabeth A. Krupinski -- Digital X-ray acquisition technologies / John Yorkston and Randy Luhta -- Efficient database designing / John Drakos -- Web-delivered interactive applications / John Drakos -- Principles of three-dimensional imaging from cone-beam projection data / Frédéric Noo -- Multimodality imaging / Katia Passera, Anna Caroli, and Luca Antiga -- Computer-aided detection and diagnosis / Lioner T. Cheng, Daniel J. Blezek, and Brad J. Erickson -- Picture archiving and communication systems -- Brent K. Stewart -- Hospital information systems, radiology information systems, and electronic medical records / Herman Oosterwijk -- Procurement / Boris Zavalkovskiy -- Operational issues / Shawn Kinzel ... [et al.] -- Teleradiology / Dimitris Karnabatidis and Konstantinos Katsanos -- Ethics in the radiology department / William R. Hendee -- Imaging informatics beyond radiology / Konstantinos Katsanos ... [et al.] -- Informatics in radiation oncology / George Starkschall and Peter Balter.
  • 2014 CRCnetBASE
    edited by George Starkschall, R. Alfredo C. Siochi.
    "A complete overview of the subject, this book discusses the role of information in the process of radiation oncology, acquisition, communication, and display of data; infrastructure requirements; and the use of data in clinical evaluation and research. It describes essential informatics tools, including various imaging techniques and image management systems, treatment planning systems, radiation oncology management systems, and the electronic medical record. Expert contributors explain how to obtain imaging and other diagnostic information as well as treatment prescriptions, treatment setup and delivery data, and outcome reviews"--Provided by publisher.
  • 2011 CRCnetBASE
    edited by Stephan Jones and Frank M. Groom.
    Ch. 1. Healthcare systems : Introduction / Frank M. Groom -- Ch. 2. Technology as a catalyst for health enhancement / Jane Ellery and Peter J. Ellery -- Ch. 3. Health information exchange / Dave Yoder -- Ch. 4. Universal data standards / Colleen Willis -- Ch. 5. Healthcare information exchange / Kent Supancik -- Ch. 6. Health information technology in the United States : achieving legal and regulatory results that enhance innovation and adoption / Stuart N. Brotman, Gabriel G. Brotman and Jennifer E. Paul -- Ch. 7. Healthcare regulations, privacy, security, and information age considerations / Sydney Morris -- Ch. 8. Usability : patient-physician interactions and the electronic medical record / Carolyn K. Shue and Laura L.S. O'Hara -- Ch. 9. Remembering human factors when implementing technology use : a case study in home healthcare usability / Lori A. Byers -- Ch. 10. Security and privacy : impacts of evolving technologies and legislation / Robert Faix, Chad Cagnolatti, and David Flynn -- Ch. 11. New facility planning : a healthcare focus / Todd Hollowell and Carl Fleming -- Ch. 12. Developing innovative health information for youth : communication theory for practical emerging media applications / Lou Ann Stroup, Chelsey Sigler, and Jay E. Gillette -- Ch. 13. Re-envisioning the IndianaMedicaid.com website as a member-focused portal : a case study on usability and technology for transforming healthcare communication / Jared B. Linder -- Appendix: Glossary of health care terms from IBM.
  • 2010 CRCnetBASE
    edited by Vagelis Hristidis.
    Overview of XML / Fernando Farfan, Vagelis Hristidis -- Electronic health records / Fernando Farfan, Ramakrishna Varadarajan, and Vagelis Hristidis -- Overview of information discovery techniques on EHRs / Vagelis Hristidis -- Data Quality and integration issues in electronic health records / Ricardo Joao Cruz-Correia ... [et al.] -- Ethical, legal, and social issues for EHR data protection / Reid Cushman -- Searching electronic health records / Ramakrishna Varadarajan ... [et al.] -- Data mining and knowledge discovery on EHRs / Donald J. Berndt, Monica Chiarini Tremblay, and Stephen L. Luther -- Privacy-preserving information discovery on EHRs / Li Xiong ... [et al.] -- Real-time and mobile physiological data analysis / Daniele Apiletti ... [et al.] -- Medical image segmentation / Xiaolei Huang and Gavriil Tschpenakis.
  • 2011 Springer
    Naakesh Dewan, John Luo, Nancy M. Lorenzi, editors.
    pt. 1. Overview -- pt. 2. Clinical practice issues -- pt. 3. Patient and client centric technologies section -- pt. 4. Organizational issues.
  • 2015 Springer
    Leonard Berliner, Heinz U. Lemke, editors.
    Preface -- Introduction -- The Digital Patient Model and Model Guided Therapy -- Hepatocellular Carcinoma and Patient Assessment -- Imaging in Hepatocellular Carcinoma: Radiologic Assessment -- Imaging in Hepatocellular Carcinoma: PET/CT -- Personalized Chemotherapy for Hepatocellular Carcinoma -- Surgical Treatment for Hepatocellular Carcinoma.- Minimally Invasive Therapies for Hepatocellular Cancer: Ablation Technologies -- Chapter 9 Minimally Invasive Therapies for Hepatocellular Cancer: Ablation Therapies -- Minimally Invasive Therapies for Hepatocellular Cancer:Catheter-Directed Therapies -- Radiation Oncology in the Treatment of Hepatocellular Carcinoma -- Design of an IT System for Hepatocellular Carcinoma -- Outlook and Expert Recommendations for Predictive, Preventive and Personalized Medicine and Hepatocellular Carcinoma.
  • 2013 Springer
    Stephen Goundrey-Smith.
    Over the last 30-40 years, information technology (IT) has revolutionized professional life for millions of people around the world. IT has reduced the need for bulk storage of paper records by organizations, has enabled automation of tasks that were previously repetitive and labor-intensive, and carry them out in a fast and accurate way, has enabled economies of scale, improved efficiencies and enabled new ways of working that were hitherto impossible. In parallel with the rise of IT during the last 40 years, the role of the pharmacist - and the society in which pharmacists work - has changed considerably. Pharmacists are no longer principally compounders of medicines, but they are still responsible for ensuring that the patient receives the correct medicine, ensuring that the patient understands why they should take their medicine, and helping the patient with taking the medicine and being concordant with therapy.Information Technology in Pharmacy: an Integrated Approach provides a concise and practical general introduction to pharmacy IT, discusses issues surrounding the adoption of technology and how technologies may be utlilized by the pharmacy profession to exercise new professional roles and achieve new professional aspirations. This book will be of prime interest to practicing pharmacists at all levels, pharmacy students and pharmacy educators, but also to health informaticians, hospital and health care system administrators.
  • 2006 Springer
    Krzysztof Zieliński, Mariusz Duplaga, David Ingram, editors.
  • 2013 Springer
    Lyle Berkowitz, Chris McCarthy, editors.
    The healing edge / Lyle Berkowitz and Chris McCarthy -- Mad for method / Chris McCarthy and Christi Dining Zuber -- section 1. You have an EHR: now what?!!?!. The inflection navigator / Lyle Berkowitz -- Making "right" easier / Peter Basch -- Prevention every time / James L. Holly -- Logic rules! / John W. Trudel and Lloyd D. Fisher -- "All or none" bundle philosophy / Thomas R. Graf -- Automatically getting better / David C. Stockwell and Brian R. Jacobs -- section 2. Meet you at 01100101. The connected patient / Jonathan S. Wald -- The virtual consult / Erin DeMarce Leff ... [et al.] -- TeleVisit keeps IT local / Ajay Sood ... [et al.] -- Mommy monitor / Steve Huffman and April R. Daugherty -- Every language now / David D. O'Neill, Susan Anthony, and Margaret Laws -- Rise of the ePharmacists / Mark S. Gagnon and Janell Moerer -- section 3. On the edge of edge. The smartest room / Tamra E. Minnier and David T. Sharbaugh -- One EMR to go please / Steve Flammini and James W. Noga -- Real-time, right care / Debra J. Hurd and Brian D. Patty -- Dashboards 2.0 / George Reynolds -- The patient voice amplified / Valerie M. Sue and Karen Tsang -- The gaming edge / Alex Tam, Vivian Distler, and Bradley Kreit.
  • 2011
    David P. Chen.
    Secondary use of electronic health record (EHR) data has the potential to unlock novel insight into human pathophysiology. While EHR data has often been used in retrospective studies, management of public health, and to improve patient safety, its use in discovering underlying molecular mechanisms of human disease and pathophysiology has been limited. Much of this can be attributed to the differing priorities between healthcare providers and basic biological researchers. The advent of biobanks that collect physiological measurements as well as tissue samples and molecular measurements promises to address this issue. However, the sheer number of different biological and clinical measurement modalities hinders the generation of a truly complete view of the human organism. The increased adoption of EHRs as well as growing biological data repositories enables researchers to answer biological questions applicable to the human population. The goal is not to treat humans as experimental organisms, but rather to gain as much knowledge as possible from every patient seen. By viewing EHRs as a repository of perturbations and their associated physiological consequences we can begin to design experiments that leverage EHR data to generate hypotheses that can be further evaluated. This thesis aims to describe methods to summarize EHR biomarker data in a systematic way to enable downstream analysis as well as methods for integrating EHR data and disparate biological data. I will describe the creation of the "clinarray" and its application to specific disease populations to differentiate patients by severity and to discover latent physiological factors associated with disease. I will also describe how to aggregate and analyze clinarrays from across the EHR to build models of aging. Finally I will discuss the use of diseases to integrate EHR data with gene expression data from a disparate biological data source to discover genes related to aging and to generate hypotheses for relationships between biomarkers and genes. The integration of readily available clinical and biological data promises to improve our understanding of phenomics without impacting patient care and adding an unnecessary burden to the healthcare system. It is important for biological research to leverage the increased amount of molecular and environmental data stored in EHRs to build a more complete view of the human organism.
  • 2012 Springer
    Valerie Powell ... [et al.], editors.
    Rationale and Need to Articulate Medical and Dental Data / Valerie J.H. Powell, Franklin M. Din -- HIT Considerations: Informatics and Technology Needs and Considerations / Miguel Humberto Torres-Urquidy -- Metrics and Measurements / Valerie J.H. Powell, Amit Acharya -- Broader Considerations of Medical and Dental Data Integration / Stephen Foreman, Joseph Kilsdonk -- International Perspectives / Miguel Humberto Torres-Urquidy -- An Integrated Medical-Dental Electronic Health Record Environment: A Marshfield Experience / Amit Acharya, Natalie Yoder, Greg Nycz -- Conclusion and Recommendations / Franklin M. Din, Valerie J.H. Powell.
  • 2012
    Marc A. Schaub.
    Genome Wide Association Studies (GWAS) have identified over 4,500 common variants in the human genome that are statistically associated with diseases and other phenotypical traits. Most identified associations, however, only have a small effect on disease risk, and their relevance in a clinical setting remains the subject of extensive debate. In this thesis I present three integrative analysis directions that extend on GWAS by developing new methods, by using genotyping data to ask new questions, and by integrating additional types of data to generate functional hypotheses about the biological processes underlying associations. First, I introduce a new classifier-based methodology that identifies similarities in the genetic architecture of diseases. This method can successfully identify both known and novel relationships between common diseases. Second, I show how control individuals from a GWAS can be used to detect genetic differences between the pseudoautosomal regions of chromosomes X and Y in the general population. Finally, I present an approach that integrates experimental data generated by the ENCODE consortium in order to identify functional Single Nucleotide Polymorphisms (SNPs). These functional SNPs are associated with a phenotype, either directly or through linkage disequilibrium, and overlap a functional region of the genome such as a transcribed region or a transcription factor binding site. Up to 80% of all associations previously reported in a GWAS can be mapped to a functional SNP.
  • 2008 CRCnetBASE
    edited by Olivier C.L. Haas, Keith J. Burnham.
  • 2013 ScienceDirect
    Syed V. Ahamed.
    This textbook offers an insightful study of the intelligent Internet-driven revolutionary and fundamental forces at work in society. Readers will have access to tools and techniques to mentor and monitor these forces rather than be driven by changes in Internet technology and flow of money. These submerged social and human forces form a powerful synergistic foursome web of (a) processor technology, (b) evolving wireless networks of the next generation, (c) the intelligent Internet, and (d) the motivation that drives individuals and corporations. In unison, the technological forces can tear human lives apart for the passive or provide a cohesive set of opportunities for the knowledgeable to lead and reap the rewards in the evolved knowledge society. The book also provides in-depth coverage of the functions embedded in modern processors and intelligent communication networks. It focuses on the convergence of the design of modern processor technologies with the switching and routing methodologies of global intelligent networks. Most of the concepts that are generic to the design of terra-flop parallel processors and the terra-bit fiber-optic networks are presented. This book also highlights recent developments in computer and processor technologies into the microscopic and macroscopic medical functions in hospitals and medical centers. Examination of the latest technologies and innovations presented from academic and industrial perspectives of the concurrent dynamic changes in computer and communication industries. An up-to-date and coherent perspective of the developments in the wireless and fiber optic network technologies based on the experience and developments in the older copper, cable and hybrid fiber-coaxial communication systems. Provides a set of novel concepts and methodologies for the innovators in industry -- Source other than Library of Congress.
  • 2005 Springer
    Barry G. Silverman ... [et al.].
    Computerization of clinical guidelines : an application of medical document processing / Gersende Georg -- Case-based medical informatics / Stefan V. Pantazi, José F. Arocha and Jochen R. Moehr -- Analysis and architecture of clinical workflow systems using agent-oriented lifecycle models / James P. Davis and Raphael Blanco -- Virtual communities in health care / George Demiris -- Evidence based telemedicine / George Anogianakis ... [et al.] -- Current status of computerized decision support systems in mammography / G.D. Tourassi -- Medical diagnosis and prognosis based on the DNA microarray technology / Y. Fukuoka, H. Inaoka and I.S. Kohane -- Wearable devices in healthcare / Constantine Glaros and Dimitrios I. Fotiadis.
  • 2009 Springer
    Melissa L. Rethlefsen, David L. Rothman, Daniel S. Mojon.
  • 2006 Springer
    Bernhard Haubold, Thomas Wiehe.
  • 2015 Springer
    K.J. Hannah ... [and others], editors.
    This book is a primer for nurses on the topic of nursing informatics and presents the fundamental concepts of health information management from a nursing perspective. Nursing informatics has never been more important as contemporary healthcare offers exciting opportunities for the nursing profession to contribute to the design of emerging eHealth models of care and to ensure resources such as electronic health records and mobile technology are pragmatic and fit for purpose. This new edition contains the best available evidence to inspire and support nurses to think critically about both current and future practice. Introduction to Nursing Informatics is designed for use by practicing nurses and students in undergraduate programs of study and includes a number of contributions from leading international experts who have practiced in the field over a number of years. The information is presented and integrated in a purposeful manner to encourage readers to explore the key concepts of nursing practice, information management and its relationship to informatics. Critically, the content is also linked to case-based examples to contextualize the theory presented.
  • 2006 Springer
    edited by Kathryn J. Hannah, Marion J. Ball and Margaret J.A. Edwards.
    Also available: Print – 2006
  • 2016 Springer
    S. B. Bhattacharyya.
    1. Overview of SNOMED CT -- 2. Need for Clinical Terminology -- 3. SNOMED CT History and IHTSDO -- 4. SNOMED CT Basics -- 5. Extending SNOMED CT -- 6. Enabling SNOMED CT -- 7. SNOMED CT Expressions -- 8. Clinical Analytics with SNOMED CT -- 9. Using SNOMED CT -- 10. SNOMED CT Tips and Tricks -- 11. Overall Assessment. .
  • 2007 Springer
    David H. Gustafson, Patricia Flatley Brennan, and Robert P. Hawkins, editors ; foreword by Stephen M. Shortell.
    Patient-focused technology and the health care delivery system / Patricia Flatley Brennan -- CHESS : translating research into practice / Robert P. Hawkins and Susan Dinauer -- Theory and literature review / Robert P. Hawkins and John Fellows -- Considerations for successful implementation of newly adopted technologies / David H. Gustafson and John Fellows -- Implementation model development and testing / David H. Gustafson, Kuang-Yi Wen, and John Fellows -- Introduction to case studies / David H. Gustafson -- Associated Practice, 1992-1997 / Susan Dinauer, Pauley R. Johnson, Tracy Siegler, Gail Casper, and John Fellows -- Union Hospital, 1993-2001 / Susan Dinauer, Betta Owens, Tracy Siegler, Gail Casper, and John Fellows -- Strand Hardin Health Care, 1995-2002 / Tracy Siegler, Betta Owens, Gail Casper, and John Fellows -- Grace Hospital, 1996-2000 / Pauley R. Johnson, Robert P. Hawkins, Joanna Bates, Gail Casper, and John Fellows -- Simpson Hospital, 1997-2000 / Pauley R. Johnson, Susan Dinauer, Gail Casper, and John Fellows -- Caregiver Resource Center Network, 1999-2002 / Leah Eskenazi, Pauley R. Johnson, Tracy Siegler, Gail Casper, and John Fellows -- Key learning and advice for implementers / David H. Gustafson and Patricia Flatley Brennan.
  • 2008 Springer
    David Rian̋o (ed.).
    Health care knowledge management: Healthcare Knowledge nmanagement : the art of the possible / Syed Sibte Raza Abidi -- Health care knowledge elicitation -- Health care knowledge transformation -- Health care knowledge-based intelligent systems.
  • 2014 CRCnetBASE
    editors, Sherif Sakr, Mohamed Medhat Gaber.
    "This book provides a central source of reference on the various data management techniques of large scale data processing and its technology application. This book presents chapters written by leading researchers, academics, and practitioners in the field, all of which have been reviewed by independent reviewers. The book covers the latest research discoveries and applications. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques"-- Provided by publisher.
  • 2014 Springer
    Nilmini Wickramasinghe, Latif Al-Hakim, Chris Gonzalez, Joseph Tan, editors.
    A growing, aging population; the rise to epidemic proportions of various chronic diseases; competing, often overlapping medical technologies; and of course, skyrocketing costs compounded by waste and inefficiency - these are just a few of the multifarious challenges currently facing healthcare delivery. An unexpected source of solutions is being imported from the manufacturing sector: lean thinking. "Lean Principles for Healthcare" presents a conceptual framework, management principles, and practical tools for professionals tasked with designing and implementing modern, streamlined healthcare systems or overhauling faulty ones. Focusing on core components such as knowledge management, e-health, patient-centeredness, and collaborative care, chapters illustrate lean concepts in action across specialties (as diverse as nursing, urology, and emergency care) and around the globe. Extended case examples show health systems responding to consumer needs and provider realities with equal efficiency and effectiveness, and improved quality and patient outcomes. Further, contributors tackle the gamut of technological, medical, cultural, and business issues.
  • 2014 Springer
    Charles C. Tseng, Xiaoli Yang.
    Learning Basic Genetics with Interactive Computer Programs is a comprehensive and interactive learning program that focuses on chromosome simulation and model building. It is intended to assist students in learning more about genetics with ease. The 11 modules of this program form an integrated system for learning the basic concepts of genetics. The program innovation lies in its unique content design that incorporates cognitive feedback and experiential learning through the novel use of interactive applications. Each of the modules is designed to enhance learning by simultaneously employing "eyes-on," "minds-on," and "hands-on" activities. Topics are motivated by questions, information is presented in simple terms, and concepts are clarified by interactive prompts. Used as a supplement to traditional lectures and textbook assignments, the program not only serves as a foundation upon which to build more complex and detailed topics, but as a tutor to clarify and guide when there is confusion. The software that accompanies this book has been shown to be an ideal tool for learning about genetics, which requires a combination of understanding, conceptualization, and practical experience.
  • 2016
    David B. Agus ; with Kristin Loberg.
    Status: Not Checked OutLane Catalog Record
    Destiny of the species : welcome to the lucky years -- The century of biology : the cure is already inside you -- This isn't science fiction : the power of technology to extend your life -- The future you : how your small data in the context of big data will save you -- The dawn of precision medicine : how to manage its power and perils -- Take the two-week challenge : how to measure and interpret your own data -- The danger of misinformation : how to know whom and what to trust -- A body in motion tends to stay lucky : the one supplement you're not getting enough of -- Wonder drugs that work : sleep, sex, touching, and tools to tame inflammation -- The butterfly effect : get ready to flap your wings.
  • v. 1-3, 2013 Springer
    pt. 2, 2013 Springer
    pt. 3, 2013 Springer
    by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Eugene P. Cleophas, Henny I. Cleophas-Allers.
  • NLM
    Braithwaite, William R.; Humphreys, Betsy L.; Lasker, Roz D.
  • 2013 Springer
    Philip A. Smith.
    Making Computerized Provider Order Entry Work is neither a scientific reference guide into medical informatics nor a book on theory or a summary of research studies in the field, but rather it is a practical guide to visioning and executing successful automation of physician workflow in the hospital environment. This adaptation of workflow is the work of a team, with leadership, clear vision, dedication, commitment, external drivers, experience, and the tireless work of those before us in this industry, who have paved the way with both successes and failure.Throughout the book, the author shares hard lessons-learned and guides the reader through the early warning signs that will help avoid the pitfalls. As systems progress, and the regulatory environments change, there will be new challenges and opportunities that will confront those setting up automated physician workflows. However, this book highlights and discusses all of the principles involved such as vision, leadership, project management and change management, which will always need to be incorporated to ensure project success. As such this book will be an important reference for anyone involved in the setting up or use of such systems from the physicians and medical professionals themselves through the medical informaticist to health system executives and other decision makers.
  • 2003 ProQuest Safari
    James D. Tisdall.
    Also available: Print – 2003
  • 2012
    Samuel Mark Pearlman.
    Protein phosphorylation provides a mechanism for the rapid, reversible control of protein function. Phosphorylation adds negative charge to amino acid side chains, and negatively charged amino acids (Asp/Glu) can sometimes mimic the phosphorylated state of a protein. Using a comparative genomics approach, I show that nature also employs this trick in reverse by evolving serine, threonine, and tyrosine phosphorylation sites from Asp/Glu residues. Structures of three proteins where phosphosites evolved from acidic residues (DNA topoisomerase II, enolase, and C-Raf) show that the relevant acidic residues are present in salt bridges with conserved basic residues, and that phosphorylation has the potential to conditionally restore the salt bridges. The evolution of phosphorylation sites from glutamate and aspartate provides a rationale for why phosphorylation sometimes activates proteins, and helps explain the origins of this important and complex process. After using comparative genomics to uncover the evolutionary origins of phosphorylation, I expanded my work to attempt to predict novel phosphorylation sites using the KEGG (Kyoto Encyclopedia of Genes and Genomes) database of proteins and ortholog families. By examining aligned sites within families of proteins for the trends found in my initial investigation, I sought to improve ways of identifying promising potential phosphorylation sites.
  • 2014 CRCnetBASE
    edited by Arvin Agah.
    "Artificial Intelligence techniques have been successfully applied to the medical domain, and AI systems are being integrated into healthcare. AI systems can make providing healthcare more accurate, less expensive, more available, and more efficient. They are consistent and can be mass produced. This book includes a number of contributed chapters that detail the most recent advances and research efforts by world-wide experts in the field. The chapters follow the organization of the taxonomy; and offer a clear connection between chapters"--Provided by publisher.
  • 2007 Springer
    David Zhang (ed.).
  • 2008 Springer
    Xiaohong Gao, Henning Müller, Martin J. Loomes, Richard Comley, Shuqian Luo.
  • 2005 Springer
    edited by Hsinchun Chen ... [et al.].
    Knowledge management, data mining, and text mining in medical informatics -- Mapping medical informatics research -- Bioinformatics challenges and opportunities -- Managing information security and privacy in health care data mining: state of the art -- Ethical and social challenges of electronic health information -- Medical concept representation -- Characterizing biomedical concept relationships: concept relationships as a pathway for knowledge creation and discovery -- Biomedical ontologies -- Information retrieval and digital libraries -- Modeling text retrieval in biomedicine -- Public access to anatomic images -- 3D medical informatics: information science in multiple dimensions -- Infectious disease informatics and outbreak detection -- Semantic interpretation for the biomedical research literature -- Semantic text parsing for patient records -- Identification of biological relationships from text documents -- Creating, modeling and visualizing metabolic networks: FCModeler and PathBinder for network modeling and creation -- Gene pathway text mining and visualization -- The genomic data mine -- Exploratory genomic data analysis -- Joint learning using multiple types of data and knowledge.
    Also available: Print – 2005
  • 2014 Springer
    Alain Venot, Anita Burgun, Catherine Quantin, editors.
    Over the years, medical informatics has matured into a true scientific discipline. Fundamental and applied aspects are now taught in various fields of health, including medicine, dentistry, pharmacy, nursing and public health. Medical informatics is also often included in the curricula of many other disciplines, including the life sciences, engineering and economics. Medical informatics is a complex and rapidly changing discipline. Relatively few books have been published on the subject, and they rapidly become obsolete. This book is the fruit of a collaborative effort between authors teaching medical informatics in France and others who are conducting research in this field. In addition, an international perspective was pursued, as reflected in the inclusion of various developments and actions in both the USA and Europe. This book is divided into 18 chapters, all of which include learning objectives, recommendations for further reading, exercises and bibliographic references.
  • 2014 ClinicalKey
    Steven A. Cole, Julian Bird.
    The Medical Interview by Drs. Steven A. Cole and Julian Bird equips you to communicate effectively with your patients so you can provide optimal care! This best-selling, widely adopted resource presents a practical, systematic approach to honing your basic interviewing skills and managing common challenging communicating situations. Its Three-Function Approach - "Build the Relationship," "Assess and Understand," and Collaborative Management" offers straightforward tasks, behaviors, and skills that can be easily mastered, making this an ideal learning tool for beginners and a valuable reference for experienced healthcare professionals. Effectively meet a full range of communication challenges including language and cultural barriers, sexual issues, elderly patients, breaking bad news, and non-adherence.
    Also available: Print – 2014
  • 2010
    edited by David J. Rothman and David Blumenthal.
    Status: Not Checked OutLane Catalog Record
    Expecting the unexpected : health information technology and medical professionalism / David Blumenthal -- Quality regulation in the information age : challenges for medical professionalism / Kristen Madison and Mark Hall -- The "information Rx" / Nancy Tomes -- When new is old : professional medical liability in the information age / Sara Rosenbaum and Michael W. Painter -- Patient data : professionalism, property, and policy / Marc Rodwin -- The impact of information technology on organ donation : private values in a public world / Sheila Rothman, Natassia Rozario, and David Rothman -- Changing the rules : the impact of information technology on contemporary maternity practice / Eugene Declercq -- A profession of IT's own : the rise of health information professionals in American health care / Mark C. Suchman and Matthew D. Dimick.
  • 2015 ScienceDirect
    edited by Catherine Arnott Smith and Alla Keselman.
    1. Designing health information programs to promote the health and well-being of vulnerable populations: the benefits of evidence-based strategic health communication / Gary L. Kreps and Linda Neuhauser -- 2. Health literacy research's growth, challenges, and frontiers / Robert A. Logan -- 3. Medical information for the consumer before the World Wide Web / Catherine Arnott Smith -- 4. Ethical health information: Do it well! Do it right! Do no harm! / Michelynn McKnight -- 5. Health information resource provision in the public library setting / Mary Grace Flaherty -- 6. Who needs a health librarian? Ethical reference transactions in the consumer health library / Nancy C. Seeger -- 7. Consumer health information: the community college conundrum / Anne Chernaik -- 8. Health information delivery outside the clinic in a developing nation: The Qatar Cancer Society in the State of Qatar / Ellen N. Sayed and Alan S. Weber -- 9. Health information and older adults / Kay Hogan Smith -- 10. Re-envisioning the health information-seeking conversation: insights from a community center / Prudence W. Dalrymple and Lisl Zach -- 11. For the mutual benefit: health information provision in the science classroom / Albert Zeyer, Daniel M. Levin and Alla Keselman -- 12. "You will be glad you hung on to this quit": sharing information and giving support when stopping smoking online / Marie-Thérèse Rudolf von Rohr -- 13. Health information in bits and bytes: considerations and challenges of digital health communication / Clare Tobin Lence and Korey Capozza -- 14. Does specialization matter? How journalistic expertise explains differences in health-care coverage / Michael W. Wagner -- Afterword -- Index.
  • 2015 Springer
    Naakesh A. Dewan, John S. Luo, Nancy M. Lorenzi, editors.
    Past, Present and Future Policy Landscape for Technology in Public Mental Health Care -- Electronic Health Records Technology: Policy and Realities -- Leading Health IT Optimization: A Next Frontier -- Computer aided Psychotherapy Technologies -- Cognitive Assessment and Enhancement Technologies -- Digital platform and technology innovation in treatment of substance use disorders -- Technology and Adolescent Behavioral Health Care -- An Overview of Practicing High Quality Telepsychiatry -- Virtual Reality Technologies -- Social Media Technologies -- Technology Tools supportive of DSM-V: An Overview -- Summary and Look Forward.
  • 2011 Springer
    Prakash M. Nadkarni.
    What Is Metadata? -- Data Types in the Medical Record -- Metadata and the Use of XML -- Representing Structured Clinical Data -- Building the User Interface for Structured Clinical Data Capture -- Medical Decision Support Systems: General Considerations -- Challenges in Electronic Decision Support Implementation -- Infrastructure for Complex Clinical Decision Support: Rule Engines -- Decision Support Infrastructure: Workflows and Service-Oriented Architectures -- Complex Decision Support in Practice -- Extending the Entity-Attribute-Value Model -- Descriptive Metadata: An Introduction to Terminologies -- Descriptive Metadata: Implementing Large-Scale Biomedical Ontologies -- Clinical Study Data Management Systems -- Data Retrieval for Heterogeneous Data Models -- Metadata for Data Warehousing -- Biomedical Metadata Standards.
  • 2011
    Joel Thomas Dudley.
    One of the grand challenges in genomic medicine is to translate fundamental scientific discoveries regarding the structure, variation, and function of the genomes of individuals and populations towards improved health outcomes. The main hypothesis of this thesis is that all forms of human genetic variation contributing to the etiology and pathophysiology of modern human diseases have distinct and quantifiable evolutionary histories, which can be computed for every position in the human genome independent of human population characteristics, and used as informative quantitative priors in the discovery and assessment of variants of clinical importance in modern human populations. To enable robust evaluation of the specific questions posed by this thesis, I first explore the necessary properties and theoretical basis for a null evolutionary hypothesis for Evolutionary Genomic Medicine, and conclude that the well-established Neutral Theory of Molecular Evolution provides a sound theoretical and methodological basis for evaluating alternative hypothesis in Evolutionary Genomic Medicine. Due to advances in multiplex genotyping technologies, genome-wide associations studies (GWAS), have emerged as the premier modality for discovery and assessment clinical genomic variation. Although these efforts have been successful in revealing thousands variants robustly associated with a broad spectrum of clinical phenotypes, the variants established by the GWAS approach have so far failed to explain large proportions of the known genetic variance associated with important clinical traits such as Type 2 Diabetes and Hypertension. Because disease-associated variation is linked with genomic loci of functional importance which have undergone evolutionary selection, and even the proxy loci (e.g. tagging SNPs) used to probe for disease associated loci themselves have quantifiable evolutionary histories, I evaluate a compendium of disease-associated variants to evaluate the effect of long-term evolutionary histories on the discovery of disease-associated variants. Through this work I demonstrate that disease-associated variants have distinct evolutionary properties, and that evolutionary features of positions can be incorporated as priors to improve discovery of disease-associated variants. A similar approach is applied to evaluate pharmacogenomics variants associated with warfarin, demonstrating that evolutionary features of genomic positions improve clinical assessment of pharmacogenomics variation. Through the findings and insights gained from efforts in pursuit of my thesis which are reported here, my collaborators and I clearly demonstrate that quantitative evolutionary features can be estimated for each position in the human genome across species, and then applied to modern human population data to improve discovery and assessment of genomic variation associated with clinical phenotypes.
  • 2014 ScienceDirect
    edited by Indra Neil Sarkar.
    Seeking to cross the bridge among overview, theory, and practice, this book incorporates both methodological approaches and their potential application in the domains associated with biomedical informatics.The multi-contributor book is useful for (1) those coming from a domain seeking biomedical informatics approaches for addressing specific needs; and, (2) current biomedical informaticians seeking a foundational background for methods that might be utilized in practical scenarios germane to their ongoing research.A unique characteristic of the text is its balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios. Contributors represent leading experts from the biomedical informatics field: individuals who have demonstrated effective use of methodology in real-world, high-quality data applications. Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.
  • 2013 Springer
    Suhail A. R. Doi, Gail M. Williams, editors.
    "Methods of Clinical Epidemiology" serves as a text on methods useful to clinical researchers. It provides a clear introduction to the common research methodology specific to clinical research for both students and researchers. This book sets out to fill the gap left by texts that concentrate on public health epidemiology and focuses on what is not covered well in such texts. The four sections cover methods that have not previously been brought together in one text and serves as a second level textbook of clinical epidemiology methodology. This book will be of use to postgraduate students in clinical epidemiology as well as clinical researchers at the start of their careers.
  • 2010 CRCnetBASE
    Karl Fraser, Zidong Wang, Xiaohui Liu.
  • 2013 Springer
    edited by Ulf Schmitz, Olaf Wolkenhauer, Julio Vera.
    "This book reflects the current state of knowledge about the role of microRNAs in the formation and progression of solid tumours. The main focus lies on computational methods and their applications in combination with cutting edge experimental techniques that are used to approach all aspects of microRNA regulation in cancer. The use of high-throughput quantitative techniques makes an integrative experimental and computational approach necessary. This book will be a resource for researchers starting out with microRNA research, but is also intended for the experienced researcher who wants to incorporate concepts and tools from systems biology and bioinformatics into his work. Bioinformaticians and modellers are provided with a general perspective on microRNA biology, and the state-of-the-art in computational microRNA biology." --Publisher's description.
    Also available: Print – 2013
  • 2011 CRCnetBASE
    [edited by] David Lo, Siau-Cheng Khoo, Jiawei Han, Chao Liu.
    1. Specification mining : a concise introduction / David Lo ... [et al.] -- 2. Mining finite-state automata with annotations / Leonardo Mariani ... [et al.] -- 3. Adapting grammar inference techniques to mine state machines / Neil Walkinshaw and Kirill Bogdanov -- 4. Mining API usage protocols from large methods traces / Michael Pradel and Thomas R. Gross -- 5. Static API specification mining : exploiting source code model checking / Mithun Acharya and Tao Xie -- 6. Static specification mining using automata-based abstractions / Eran Yahav ... [et al.] -- 7. DynaMine : finding usage patterns and their violations by mining software repositories / Benjamin Livshits and Thomas Zimmermann -- 8. Automatic inference and effective application of temporal specifications / Jinlin Yang and David Evans -- 9. Path-aware static program analyses for specification mining / Muralikrishna Ramanathan, Ananth Grama, and Suresh Jagannathan -- 10. Mining API usage specifications via searching source code from the Web / Suresh Thummalapenta, Tao Xie, and Madhuri R. Marri -- 11. Merlin : specification inference for explicit information flow problems / Benjamin Livshits ... [et al.] -- 12. Lightweight mining of object usage / Andrzej Wasylkowski and Andreas Zeller.
  • 2015 Springer Protocols
    edited by Avraham Rasooly, Keith E. Herold.
    Mobile device for disease diagnosis and data tracking in resource-limited settings -- Microfluidic devices for nucleic acid (NA) isolation, isothermal NA amplification, and real-time detection -- Mobile based gold nanoprobe TB diagnostics for point-of-need -- Immunofluorescence microtip sensor for point-of-care tuberculosis (TB) diagnosis -- Improving lateral-flow immunoassay (LFIA) diagnostics via biomarker enrichment for mHealth -- Microfluidic toner-based analytical devices: Disposable, lightweight, and portable platforms for point-of-care diagnostics with colorimetric detection -- Detection of protein biomarker using a blood glucose meter -- Microchip ELISA coupled with cell phone to detect ovarian cancer HE4 biomarker in urine -- Point-of-care rare cell cancer diagnostics -- Mobile flow cytometer for mHealth -- Mobile fiber-optic sensor for detection of oral and cervical cancer in the developing world -- Opto-fluidics based microscopy and flow cytometry on a cell phone for blood analysis -- Optofluidic device for label-free cell classification from whole blood -- A wearable sensing system for assessment of exposures to environmental volatile organic compounds -- Quantitative point-of-care (POC) assays using measurements of time as the readout: A new type of readout for mHealth -- Smartphone-based fluorescence detector for mHealth -- Two-layer lab-on-a-chip (LOC) with passive capillary valves for mHealth medical diagnostics -- Spectrometry with consumer-quality CMOS cameras -- Mobile phone based electrochemiluminescence detection in paper-based microfluidic sensors -- iStethoscope: A demonstration of the use of mobile devices for auscultation -- iPhysiometer: A smartphone photoplethysmograph for measuring various physiological indices -- Smartphone attachment for stethoscope recording -- Use of smartphones and portable media devices for quantifying human movement characteristics of gait, tendon reflex response, and Parkinson's disease hand tremor -- Measuring tremor with a smartphone -- The use of single-electrode wireless EEG in biobehavioral investigations -- Smartphone based monitoring system for long-term sleep assessment -- Intracranial ventricular catheter placement with a smartphone assisted instrument -- High-resolution microendoscope for the detection of cervical neoplasia -- Skin lesions image analysis utilizing smartphones and cloud platforms -- Melanoma and other skin lesion detection using smart handheld devices.
  • 2005 Springer
    by James W. Haefner.
  • 2013 Springer
    Wan Tang, Xin Tu, editors.
    This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. Starting with survival data analysis, this book transitions from such a classic topic to modern issues by stepping through diagnostic test and instrument assessment, sequential and dynamic treatment regimen, cost-effectiveness evaluation, equivalence testing. As some type of cancer such as the effect of smoking on lung cancer cannot be studied using randomized trials, a chapter on analysis of non-randomized studies is also included. The book concludes with a chapter discussing the opportunities and challenges that lie ahead in developing on person-centered treatment regimens. The book provides an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out the analyses. Medical researchers with some background in clinical trial design and regression analysis as well as biostatisticians will find this book informative and helpful.
  • 2008 Springer
    Dmitrij Frishman, Alfonso Valencia, editors.
  • 2014 Springer Protocols
    edited by David J. Russell.
    Dynamic programming / O. Ufuk Nalbantoglu -- Heuristic alignment methods / Osamu Gotoh -- Objective functions / Haluk Dogan and Hasan H. Otu -- Who watches the watchmen? An appraisal of benchmarks for multiple sequence alignment / Stefano Iantorno ... [et al.] -- BLAST and FASTA similarity searching for multiple sequence alignment / William R. Pearson -- Clustal omega, accurate alignment of very large numbers of sequences / Fabian Sievers and Desmond G. Higgins -- T-coffee : tree-based consistency objective function for alignment evaluation / Cedrik Magi ... [et al.] -- MAFFT : iterative refinement and additional methods / Kazutaka Katoh and Daron M. Standley -- Multiple sequence alignment using probcons and probalign / Usman Roshan -- Phylogeny-aware alignment with PRANK / Ari Loytynoja -- GramAlign : fast alignment driven by grammar-based phylogeny / David J. Russell -- Multiple sequence alignment with DIALIGN / Burkhard Morgenstern -- PicXAA : a probabilistic scheme for finding the maximum expected accuracy alignment of multiple biological sequences / Sayed Mohammad Ebrahim Sahraeian and Byung-Jun Yoon -- Multiple protein sequence alignment with MSAProbs / Yongchao Liu and Bertil Schmidt -- Large-scale multiple sequence alignment and tree estimation using SATe / Kevin Liu and Tandy Warnow -- PRALINE : a versatile multiple sequence alignment toolkit / Punto Bawono and Jaap Heringa -- PROMALS3D : multiple protein sequence alignment enhanced with evolutionary and three-dimensional structural information / Jimin Pei and Nick V. Grishin -- MSACompro : improving multiple protein sequence alignment by predicted structural features / Xin Deng and Jianlin Cheng.
  • 2012
    Linda Yang Liu.
    There are clear physiological differences between men and women, including dimorphism in disease susceptibility and treatment response. These disparities often stem from biological differences between the sexes. Sex matters at every level of biology, including genes, proteins, pathways and tissues. Sex chromosomes are fundamental determinants of genetic makeup; sex hormones regulate the expression of thousands of genes; immune response pathways differ between the sexes; and clinical variables like heart rate and pain intensity are also divergent. With current technological advances in high-throughput measurement modalities, we can simultaneously probe every gene in the genome or record millions of clinical features in databases for research. However, investigators using large-scale data sources often ignore the question of sex differences. Many experimental studies use only male animals, and clinical trials often exclude one sex in an attempt to reduce variability in their results. This has led to many pharmaceuticals failing to receive approval by the Food and Drug Administration due to toxicity or lack of efficacy in the untested sex. Rather than completely ignoring sex or viewing it only as a variable to control for, we should make sex differences research a priority of every study. In particular, we should incorporate sex analysis into large-scale genomics, proteomics and clinical analyses. In addition, integrating different types of data will enable more powerful mechanistic studies. Investigating sex differences can lead to new insights about how disease operates differently in men and women. These insights will in turn lead us closer to the goal of personalized medicine for both men and women. In this thesis, I describe methods to address informatics challenges in performing sex-differentiated analysis of high-throughput datasets. In particular, I show that I have (1) developed a novel statistical method to systematically analyze genome-wide association study data for sex differences, (2) applied the method to discover and validate a novel sex difference in a top Crohn's disease risk gene, (3) developed methods to mine large electronic medical record databases to discover sex differences in clinical pain measures, and (4) modeled sex-specific gene-gene interactions to discover molecular sex differences in Alzheimer's disease. This dissertation contains a set of methods for (1) genomics and other data-driven researchers to discover sex differences in molecular and clinical measurements and (2) sex differences researchers to integrate large-scale data sources. Many of the methods I have developed are generalizable to any situation in disease or genomics research with a binary variable of interest.
  • 2012
    Status: Not Checked OutLane Catalog Record
    Worldwide, the application of information and communication technologies to support national health-care services is rapidly expanding and increasingly important. This is especially so at a time when all health systems face stringent economic challenges and greater demands to provide more and better care, especially to those most in need. The National eHealth Strategy Toolkit is an expert, practical guide that provides governments, their ministries and stakeholders with a solid foundation and method for the development and implementation of a national eHealth vision, action plan and monitoring framework. All countries, whatever their level of development, can adapt the Toolkit to suit their own circumstances. Representing one of the most significant collaborations in recent years between the World Health Organization and the International Telecommunication Union, the Toolkit is a landmark in understanding what eHealth is, what it can do, and why and how it should be applied to health care today.
  • 2013- NCBI Bookshelf
    editors, Jeffrey Beck [and thirteen others] ; reviewers, Kathi Canese [and five others] ; copy-editor, Stacy Lathrop.
    "The NCBI Handbook 2nd Edition is geared towards advanced users of NCBI resources to provide an understanding of how bioinformatics resources at NCBI work. It is not a step-by-step user manual but complements NCBI user guides, tutorials, help information, and other existing documentation. It is our intent that the handbook will reflect, to the extent possible, the current state of databases, resources, and tools at NCBI, with information updated periodically"--Resource home page.
  • NCBI Bookshelf
    [Diana Airozo ... et al.].
  • NAP
    Committee on Enhancing the Internet for Health Biomedical Applications: Technical Requirements and Implementation Strategies, Computer Science and Telecommunications Board, Commission on Physical Sciences, Mathematics, and Applications, National Research Council.
    Also available: Print – 2000
  • 2007 Springer Protocols
    edited by Chiquito Joaqium [sic] Crasto ; foreword by Stephen H. Koslow.
    Managing knowledge in neuroscience / Chiquito J. Crasto and Gordon M. Shepherd -- Interoperability across neuroscience databases / Luis Marenco ... [et al.] -- Database architectures for neuroscience applications / Prakash Nadkarni and Luis Marenco -- XML for data representation and model specification in neuroscience / Sharon M. Crook and Fred W. Howell -- Creating neuroscience ontologies / Douglas M. Bowden, Mark Dubach, and Jack Park -- Model structure analysis in NEURON / Michael L. Hines, Tom M. Morse, and N.T. Carnevale -- Constructing realistic neural simulations with GENESIS / James M. Bower and David Beeman -- Simulator for neural networks and action potentials / Douglas A. Baxter and John H. Byrne -- Data mining through simulation / William W. Lytton and Mark Stewart -- Computational exploration of neuron and neural network models in neurobiology / Astrid A. Prinz -- Brain atlases and neuroanatomic imaging / Allan MacKenzie-Graham, Jyl Boline, and Arthur W. Toga -- Brain mapping with high-resolution fMRI technology / Nian Liu -- Brain spatial normalization / William Bug ... [et al.] -- Workflow-based approaches to neuroimaging analysis / Kate Fissell -- Databasing receptor distributions in the brain / Rolf Kötter ... [et al.] -- An informatics approach to systems neurogenetics / Glenn D. Rosen -- Computational models of dementia and neurological problems / Włodzisław Duch -- Integrating genetic, functional genomic, and bioinformatics data in a systems biology approach to complex diseases : application to Schizophrenia / F.A. Middleton ... [et al.] -- Alzforum / June Kinoshita and Timothy Clark.
  • 2015 Springer
    edited by Ana Rita Londral, Pedro Encarnação, José Luis Pons Rovira, editors.
  • 2006 Springer Protocols
    edited by Dobrin Nedelkov and Randall W. Nelson.
    On-chip protein synthesis for making microarrays / Niroshan Ramachandran ... [et al.] -- RCA-enhanced protein detection arrays / Brian B. Haab and Paul M. Lizardi -- Antibody microarrays using resonance light-scattering particles for detection / Bernhard H. Geierstanger, Petri Saviranta, and Achim Brinker -- Chemical proteomics profiling of proteasome activity / Martijn Verdoes ... [et al.] -- Two-dimensional difference gel electrophoresis / Terence L. Wu -- Oligomeric states of proteins determined by size-exclusion chromatography coupled with light scattering, absorbance, and refractive index detectors / Ewa Folta-Stogniew -- Surface plasmon resonance imaging measurements of protein interactions with biopolymer microarrays / Terry T. Goodrich ... [et al.] -- Surface plasmon resonance mass spectrometry for protein analysis / Dobrin Nedelkov and Randall W. Nelson -- High-throughput affinity mass spectrometry / Urban A. Kiernan ... [et al.] -- Isotope-coded affinity tags for protein quantification / Christopher M. Colangelo and Kenneth R. Williams -- Proteomic analysis by multidimensional protein identification technology / Laurence Florens and Michael P. Washburn -- Isolation of glycoproteins and identification of their N-linked glycosylation sites / Hui Zhang and Ruedi Aebersold -- N-Glycosylation analysis using the StrOligo algorithm / Martin Ethier, Daniel Foigeys, and Hélène Perreault -- MALDI-MS data analysis for disease biomarker discovery / Weichuan Yu ... [et al.] -- Using the global proteome machine for protein identification / Ronald C. Beavis.
  • 2013 Springer
    Lee-Jun C. Wong, editor.
    Overview. History of DNA Sequencing Technologies / Lisa D. White -- Clinical Molecular Diagnostic Techniques: A Brief Review / Megan L. Landsverk, Lee-Jun C. Wong -- The Technologies and Bioinformatics. Methods of Gene Enrichment and Massively Parallel Sequencing Technologies / Hong Cui -- Sequence Alignment, Analysis, and Bioinformatic Pipelines / Fuli Yu, Cristian Coarfa -- Protein Structural Based Analysis for Interpretation of Missense Variants at the Genomics Era: Using MNGIE Disease as an Example / Victor Wei Zhang -- Algorithms and Guidelines for Interpretation of DNA Variants / Jing Wang, Megan Landsverk -- Application to Clinical Diagnosis. NGS-Based Clinical Diagnosis of Genetically Heterogeneous Disorders / C. A. Valencia, T. A. Sivakumaran, B. T. Tinkle -- Molecular Diagnosis of Congenital Disorders of Glycosylation (CDG) / Melanie Jones, Madhuri Hegde -- NGS Improves the Diagnosis of X-Linked Intellectual Disability (XLID) / Michael J. Friez, Monica J. Basehore -- NGS Analysis of Heterogeneous Retinitis Pigmentosa / Rui Chen, Feng Wang -- Next-Generation Sequencing Analyses of the Whole Mitochondrial Genome / Lee-Jun C. Wong -- Application of Next-Generation Sequencing of Nuclear Genes for Mitochondrial Disorders / Valeria Vasta, Si Houn Hahn -- Noninvasive Prenatal Diagnosis Using Next-Generation Sequencing / Nancy Bo Yin Tsui, Yuk Ming Dennis Lo -- Compliance with CAP/CLIA Regulations. Guidelines and Approaches to Compliance with Regulatory and Clinical Standards: Quality Control Procedures and Quality Assurance / Ira M. Lubin, Lisa Kalman, Amy S. Gargis -- Validation of NGS-Based DNA Testing and Implementation of Quality Control Procedures / Victor Wei Zhang, Lee-Jun C. Wong -- Frequently Asked Questions About the Clinical Utility of Next-Generation Sequencing in Molecular Diagnosis of Human Genetic Diseases / Ephrem L. H. Chin, Victor Wei Zhang, Jing Wang, Margherita Milone, Susan Pacheco.
  • 2006 MyiLibrary
    [edited by] Raj Sharman, Rajiv Kishore, Ram Ramesh.
  • 2008 CRCnetBASE
    edited by Gino J. Lim and Eva K. Lee.
    Classification and disease prediction via mathematical programming / Eva K. Lee and Tsung-Lin Wu -- Using influence diagrams in cost-effectiveness analysis for medical decisions / Ram S. Duriseti -- Non-Bayesian classification to obtain high quality clinical decisions / Ram S. Duriseti -- Optimizing pediatric vaccine formularies / Shane N. Hall, Sheldon H. Jacobson, and Edward C. Sewell -- Optimal spending on HIV prevention and treatment : a framework for evaluating cost-effectiveness with example application to the India AIDS initiative / Margaret L. Brandeau ... [et al.] -- Optimization over graphs for kidney paired donation / Sommer E. Gentry -- Introduction to radiation therapy planning optimization / Gino J. Lim -- Beam orientation optimization methods in intensity modulated radiation therapy treatment planning / Dionne M. Aleman, H. Edwin Romeijn, and James F. Dempsey -- Multileaf collimator shape matrix decomposition / Thomas Kalinowski -- Optimal planning for radiation therapy / Mark Langer, Ronald Rardin, and Ali Tuncel -- Introduction to systems biology for mathematical programmers / Eivind Almaas, Allen Holder, and Kevin Livingstone -- Algorithms for genomics analysis / Eva K. Lee and Kapil Gupta -- Computational methods for probe design and selection / Claudio N. Meneses, Panos M. Pardalos, and Michelle A. Ragle -- Implementation of logical analysis of data for oligo probe selection / In-Yong Jang, Kwangsoo Kim, and Hong Seo Ryoo -- New dihedral angle measure for protein secondary prediction / Moon K. Kim, Yunho Jang, and J. MacGregor Smith -- Optimization of tumor virotherapy with recombinant measles viruses / Zeljko Bajzer ... [et al.] -- Combating microbial resistance to antimicrobial agents through dosing regimen optimization / Michael Nikolaou and Vincent H. Tam.
  • 2006 Springer
    Keith J. Dreyer ... [et al.], editors.
  • 2010 Springer
    Roy C.P. Kerckhoffs, editor.
    Integrating State-of-the-Art Computational Modeling with Clinical Practice: The Promise of Numerical Methods / David E. Krummen, Gainyu Oshodi and Sanjiv M. Narayan -- Patient-Specific Modeling of Cardiovascular Dynamics with a Major Role for Adaptation / Theo Arts, Joost Lumens, Wilco Kroon, Dirk Donker and Frits Prinzen, et al. -- Patient-Specific Modeling of Structure and Function of Cardiac Cells / Frank B. Sachse -- Studies of Therapeutic Strategies for Atrial Fibrillation Based on a Biophysical Model of the Human Atria / Laurent Uldry, Nathalie Virag, Jean-Marc Vesin and Lukas Kappenberger -- Patient-Specific Modeling for Critical Care / Maxwell Lewis Neal -- Biomechanical Analysis of Abdominal Aortic Aneurysms / Lambert Speelman, Mariëlle Bosboom, Geert W. H. Schurink and Frans N. v.d. Vosse -- The Cardiac Atlas Project: Towards a Map of the Heart / Michael Backhaus, Jae Do Chung, Brett R. Cowan, Carissa G. Fonseca and Wenchao Tao, et al. -- In Vivo Myocardial Material Properties and Stress Distributions in Normal and Failing Human Hearts / Jonathan F. Wenk, Zhihong Zhang, Guangming Cheng, Kay Sun and Joseph C. Walker, et al. -- Modeling of Whole-Heart Electrophysiology and Mechanics: Toward Patient-Specific Simulations / Fijoy Vadakkumpadan, Viatcheslav Gurev, Jason Constantino, Hermenegild Arevalo and Natalia Trayanova -- Personalized Computational Models of the Heart for Cardiac Resynchronization Therapy / Maxime Sermesant and Reza Razavi -- Patient-Specific Modeling of Hypoxic Response and Microvasculature Dynamics / Joanna Nathan and Amina Ann Qutub -- A Computational Framework for Patient-Specific Multi-Scale Cardiac Modeling / Jazmin Aguado-Sierra, Roy C. P. Kerckhoffs, Fred Lionetti, Darlene Hunt and Chris Villongco, et al.
  • 2012 Springer
    editor, John J. Hutton.
    "Advances in the biomedical sciences, especially genomics, proteomics, and metabolomics, taken together with the expanding use of electronic health records, are radically changing the IT infrastructure and software applications needed to support the transfer of knowledge from bench to bedside. Pediatric Biomedical Informatics: Computer Applications in Pediatric Research describes the core resources in informatics necessary to support biomedical research programs and how these can best be integrated with hospital systems to receive clinical information that is necessary to conduct translational research. The focus is on the authors' recent practical experiences in establishing an informatics infrastructure in a large research-intensive children's hospital. This book is intended for translational researchers and informaticians in pediatrics, but can also serve as a guide to all institutions facing the challenges of developing and strengthening informatics support for biomedical research. The first section of the book discusses important technical challenges underlying computer-based pediatric research, while subsequent sections discuss informatics applications that support biobanking and a broad range of research programs. Pediatric Biomedical Informatics provides practical insights into the design, implementation, and utilization of informatics infrastructures to optimize care and research to benefit children. Dr. John Hutton is the Vice President and Director of Biomedical Informatics at Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. He is also Professor of Pediatrics and Associate Dean for Information Services at the University of Cincinnati College of Medicine"--Provided by publisher.
  • 2009 Springer
    Christoph U. Lehmann, George R. Kim, Kevin B. Johnson, editors.
  • 2005 Springer
    James E. Demetriades, Robert M. Kolodner, Gary A. Christopherson, editors ; foreword by Janet M. Corrigan.
    Inverted perspectives: triggering change / Tom Munnecke and Robert M. Kolodner -- A window of opportunity / Robert M. Kolodner -- HealthePeople: person-centered, outcomes-driven, virtual health systems / Gary A. Christopherson -- The value of electronic health records / Blackford Middleton -- Personal outcomes in health care / Thomas L. Garthwaite -- Human factors: changing systems, changing behaviors / Marion J. Ball and Judith V. Douglas -- Laying the foundations: information architecture for HealthePeople / James E. Demetriades -- Critical areas of standardization / Jeffrey S. Blair and Simon Cohn -- The role of terminology in future health information systems / Steven H. Brown, Michael J. Lincoln, and Peter L. Elkin -- Modeling for health care / Kenneth S. Rubin, Thomas Beale, and Bernd Blobel -- HealthePeople security architecture / Bernd Blobel and John M. Davis -- Open source health systems / Dipak Katra and David Forslund -- Critical standards convergence / Steven Wagner and J. Michael Fitzmaurice -- A European perspective on the cultural and political context for deploying the electronic health record / Angelo Rossi Mori and Gerard Freriks -- Convergence toward the Pan-Canadian electronic health record / Julie Richards, Shari Dworkin, and Nancy Gill -- HealthConnect: a health information network for all Australians / David Rowlands -- The Veterans Health Administration: quality, value, accountability, and information as transforming strategies / Jonathan B. Perlin and Robert M. Kolodner.
  • 2010 Springer
    Michael Christopher Gibbons, Rajeev Bali, Nilmini Wickramasinghe, editors.
    KM and urban health. Knowledge management for the urban health context / M. Chris Gibbons, Rajeev K. Bali, and Nilmini Wickramasinghe -- Healthcare knowledge management : incorporating the tools technologies strategies and process of KM to effect superior healthcare delivery / Nilmini Wickramasinghe -- Knowledge Management in the urban health context : moving towards tacit-to-tacit knowledge transfer / Rajeev K. Bali, Vikram Baskaran, and Raouf N.G. Naguib -- Incorporating KM principles into urban health contexts. A childhood/adolescent knowledge management system for urban area health programs in the District of Columbia / Michael L. Popovich and Xiaohui Zhang -- Urban health in developing countries / Siddharth Agarwal, Aradhana Srivastava, and Sanjeev Kumar -- A pervasive wireless knowledge management solution to address urban health inequalities with indigenous Australians / Nilmini Wickramasinghe, Indrit Troshani, and Steve Goldberg -- The development of a framework to evaluate the management of HIV/AIDS programmes in rural and urban South Africa / Rochelle Sassman ... [et al.] -- The potential of serious games for improving health and reducing urban health inequalities / M. Chris Gibbons -- Measures and metrics for KM and urban health. A scalable and viable strategy for managing organization : typology of intervening into complex healthcare environment for enhancing its continual development / Murako Saito -- Amplifying resonance in organizational learning process : knowledge sharing for overcoming cognitive barriers and for assuring positive action / Murako Saito -- Developing new urban health metrics to reduce the know-do gap in public health / Carlos Castillo-Salgado and Michael Christopher Gibbons -- Recommendations on evaluation and development of useful metrics for urban health / Carlos Castillo-Salgado and M. Chris Gibbons -- Making sense of urban health knowledge / Rajeev K. Bali ... [et al.].
  • 2007 CRCnetBASE
    edited by Jakob E. Bardram, Alex Mihailidis, Dadong Wan.
    Overview of healthcare, disease, and disability / Jeffrey Kaye, Tracy Zitzelberger -- Computer science tools and techniques / Martha E. Pollack, Bart Peintner -- Pervasive computing in hospitals / Jakob E. Bardram, Heribert Baldus, Jesus Favela -- Pervasive computing in the home and community / Donald J. Patterson, Henry A. Kautz, Dieter Fox, Lin Liao -- Mobile and personal health and wellness management systems / Elina Mattila, Ilkka Korhonen, Niilo Saranummi -- Sensors and wearable technologies for pervasive healthcare / Sungmee Park, Sundaresan Jayaraman -- Assistive technologies / Edmund LoPresti -- Human factors and usability of healthcare systems / Andre Kushniruk, Elizabeth Borycki -- Routes and requirements for realizing pervasive medical devices / Michael P. Craven -- User evaluation in pervasive healthcare / Tim Adlam, Roger Orpwood, Teresa Dunn -- The business of pervasive healthcare / Dadong Wan, Luis E. Taveras.
  • 2013 Springer
    Rajeev K. Bali, Indrit Troshani, Steve Goldberg, Nilmini Wickramasinghe, editors.
    Between rising costs and decreasing accessibility, the present health care picture is fraught with shortcomings--a discouraging scenario for the millions of patients struggling with chronic diseases such as diabetes and hypertension. In response, computer technology is emerging as a key factor in the transition from inefficient centralized health systems toward patient-centered, patient-involved care: pervasive healthcare. In straightforward fashion, Pervasive Health Knowledge Management systematically explains how mobile technologies and knowledge management (KM) can streamline health systems by removing time and place limitations, reducing costs, and giving patients a more proactive part in managing their conditions. The book defines the role of KM in pervasive healthcare and analyzes its component processes and technologies. Chapters examine how and why KM works, review KM initiatives within and outside the U.S., and offer extended coverage of possibilities for ubiquitous computing in managing diabetes. Together, they outline a future that meets mounting chronic health concerns with efficient, cost-effective, patient-empowering strategies. Highlights of the coverage: Implicit and explicit knowledge assets in healthcare.Using pervasive technologies to manage knowledge in crisis situations.Smart phone application design and knowledge management for people with dementia.A pervasive technology solution for supporting diabetes self-care.Examining the business and IT aspects of wireless enabled healthcare solutions.Developing an internet-based chronic disease self-management system. Healthcare administrators and researchers in healthcare management, health policy, and health services research will find detailed in Pervasive Health Knowledge Management a visionary approach to many of the most pressing problems in their fields.
  • 2012 CRCnetBASE
    Monte F. Hancock, Jr.
    What is data mining and what can it do? -- The data mining process -- Problem definition (Step 1) -- Data evaluation (Step 2) -- Feature extraction and enhancement (Step 3) -- Prototyping plan and model development (Step 4) -- Model evaluation (Step 5) -- Implementation (Step 6) -- Supervised learning Genre section 1 - Detecting and characterizing known patterns -- Forensic analysis Genre Section 2 -Detecting, characterizing, and exploiting hidden patterns -- Genre Section 3 - Knowledge : Its acquisition, representation, and use.
  • 2007 CRCnetBASE
    Susanne Prokscha.
    Also available: Print – 2007
  • 2014 Springer
    edited by Liron Pantanowitz, Anil V. Parwani.
    Introduction to informatics / Liron Pantanowitz -- Basic computing / Seung L. Park, Anil V. Parwani, and Liron Pantanowitz -- Networking / Muhammad A. Syed, Anil V. Parwani, and Liron Pantanowitz -- Databases / Seung L. Park, Anil V. Parwani, and Liron Pantanowitz -- Coding / Seung L. Park, Jacqueline Cuda, and Liron Pantanowitz -- Laboratory information systems / Ioan C. Cucoranu, Anil V. Parwani, and Liron Pantanowitz -- Laboratory information system operations and regulations / Ioan C. Cucoranu, Anil V. Parwani, and Liron Pantanowitz -- Reporting / Liron Pantanowitz -- Quality management / Liron Pantanowitz, Luke T. Wiehagen, and R. Marshall Austin -- Barcoding / Ioan C. Cucoranu, Anil V. Parwani, and Liron Pantanowitz -- Informatics projects / Liron Pantanowitz -- Lean Six Sigman / Ioan C. Cucoranu, Anil V. Parwani, and Liron Pantanowitz -- Electronic medical records / Seung L. Park, Anil V. Parwani, and Liron Pantanowitz -- Digital imaging / Milon Amin, Anil V. Parwani, and Liron Pantanowitz -- Automated pap tests / Liron Pantanowitz -- Telecytology / Sara E. Monaco and Liron Pantanowitz -- Cytology online / Walid E. Khalbuss -- Bioinformatics / Somak Roy, Liron Pantanowitz, and Anil V. Parwani -- Research informatics / Somak Roy, Liron Pantanowitz, Anil V. Parwani.
  • 2006 Springer
    John H. Sinard.
  • 2013 CRCnetBASE
    Milos Jenicek.
    Ways we see, learn, and practice medicine today : paradigms of what we are doing -- How physicians and other health professionals really (or should) think -- Reasoning in step-by-step clinical work and care : risk, diagnosis, treatment, prognosis -- Clinical and community medicine decision making -- How physicians communicate with themselves, their patients, and others : clinical communication and its vehicles -- Conclusions (with a short recapitulation) : welcome to the world of reasoned and evidence-based medicine.
  • 2014 ScienceDirect
    Ira J. Kalet, Ph.D.
    This second edition of a pioneering technical work in biomedical informatics provides a very readable treatment of the deep computational ideas at the foundation of the field. Principles of Biomedical Informatics, 2nd Edition is radically reorganized to make it especially useable as a textbook for courses that move beyond the standard introductory material. It includes exercises at the end of each chapter, ideas for student projects, and a number of new topics, such as: .tree structured data, interval trees, and time-oriented medical data and their use . On Line Application Processing (OLAP), an old database idea that is only recently coming of age and finding surprising importance in biomedical informatics a discussion of nursing knowledge and an example of encoding nursing advice in a rule-based system X-ray physics and algorithms for cross-sectional medical image reconstruction, recognizing that this area was one of the most central to the origin of biomedical computing .an introduction to Markov processes, and an outline of the elements of a hospital IT security program, focusing on fundamental ideas rather than specifics of system vulnerabilities or specific technologies. It is simultaneously a unified description of the core research concept areas of biomedical data and knowledge representation, biomedical information access, biomedical decision-making, and information and technology use in biomedical contexts, and a pre-eminent teaching reference for the growing number of healthcare and computing professionals embracing computation in health-related fields. As in the first edition, it includes many worked example programs in Common LISP, the most powerful and accessible modern language for advanced biomedical concept representation and manipulation. The text also includes humor, history, and anecdotal material to balance the mathematically and computationally intensive development in many of the topic areas. The emphasis, as in the first edition, is on ideas and methods that are likely to be of lasting value, not just the popular topics of the day. Ira Kalet is Professor Emeritus of Radiation Oncology, and of Biomedical Informatics and Medical Education, at the University of Washington. Until retiring in 2011 he was also an Adjunct Professor in Computer Science and Engineering, and Biological Structure. From 2005 to 2010 he served as IT Security Director for the University of Washington School of Medicine and its major teaching hospitals. He has been a member of the American Medical Informatics Association since 1990, and an elected Fellow of the American College of Medical Informatics since 2011. His research interests include simulation systems for design of radiation treatment for cancer, software development methodology, and artificial intelligence applications to medicine, particularly expert systems, ontologies and modeling.
  • 2012 Springer
    Stephen Goundrey-Smith.
    Philosophical and Social Framework of Electronic Medicines Management -- History and Context of Electronic Prescribing in the US and UK -- Organization Benefits of Electronic Prescribing -- EP Systems as a Risk Management Tool -- Data Support for Electronic Medicines Management -- Electronic Medicines Management: Support for Professional Practice -- Electronic Medicines Management and Non-medical Prescribing -- Electronic Prescribing and Future Priorities.
  • 2008 Springer
    Stephen Goundrey-Smith.
  • 2016 Springer
    Tim Benson, Grahame Grieve.
    PART 1 Principles of Health Interoperability -- Chapter 1 The Health Information Revolution -- Chapter 2 Why Interoperability is Hard -- Chapter 3 Models -- Chapter 4 UML, XML and JSON -- Chapter 5 Information Governance -- Chapter 6 Standards Development Organizations -- PART 2 Terminologies and SNOMED CT -- Chapter 7 Clinical Terminology -- Chapter 8 Coding and Classification Schemes -- Chapter 9 SNOMED CT -- Chapter 10 SNOMED CT Concept Model -- Chapter 11 Implementing SNOMED CT -- PART 3 HL7 and Interchange Formats -- Chapter 12 HL7 Version 2 -- Chapter 13 The HL7 V3 RIM -- Chapter 14 Constrained Information Models -- Chapter 15 CDA -- Clinical Document Architecture -- Chapter 16 HL7 Dynamic Model -- Chapter 17 Sharing Documents and IHE XDS -- PART 4 FHIR -- Chapter 18 Principles of FHIR -- Chapter 19 The FHIR RESTful API -- Chapter 20 FHIR Resources -- Chapter 21 Conformance and Terminology -- Chapter 22 Implementing FHIR.
  • 2012 Springer
    Tim Benson.
    Part 1. Principles of Health Interoperability -- The Health Information Revolution -- Why Interoperability is Hard -- Models -- UML and XML -- Privacy -- Standards Development Organizations -- Part 2. HL7 and Interchange Formats -- HL7 Version 2 -- The HL7 V3 RIM -- Constrained Information Models -- Clinical Document Architecture -- HL7 Dynamic Model -- IHE XDS -- Part 3. SNOMED and Terminology -- Clinical Terminology -- Coding and Classification Schemes -- SNOMED CT -- SNOMED CT Concept Model -- Using SNOMED and HL7 Together.
  • 2010 Springer
    Tim Benson.
    The health information revolution -- Why interoperability is hard -- Models -- UML and XML -- Standards development organizations -- HL7 version 2 -- The HL7 V3 RIM -- Constrained information models -- Clinical document architecture -- HL7 dynamic model and IHE XDS -- Clinical terminology -- SNOMED CT -- Using SNOMED and HL7 together.
  • 2005 Springer
    Dirk Husmeier, Richard Dybowski, and Stephen Roberts (eds.).
    A leisurely look at statistical inference / Dirk Husmeier -- Introduction to learning Bayesian networks from data / Dir Husmeier -- A casual view of multi-layer perceptrons as probability models / Richard Dybowski -- Introduction to statistical phylogenetics / Dirk Husmeier -- Detecting recombination in DNA sequence alignments / Dirk Husmeier, Frank Wright -- RNA-based phylogenetic methods / Magnus Rattray, Paul G. Higgs -- Statistical methods in microarray gene expression data analysis / Claus-Dieter Mayer, Chris A. Glasbey -- Inferring genetic regulatory networks from microarray experiments with Bayesian networks / Dirk Husmeier -- Modeling genetic regulatory networks using gene expression profiling and state-space models / Claudia Rangel ... [et al.] -- An anthology of probabilistic models for medical informatics / Richard Dybowski, Stephen Roberts -- Bayesian analysis of population pharmacokinetic/pharmacodynamic models / David J. Lunn -- Assessing the effectiveness of Bayesian feature selection / Ian T. Nabney ... [et al.] -- Bayes consistent classification of EEG data by approximate marginalization / Peter Sykacek, Iead Rezek, and Stephen Roberts -- Ensemble hidden Markov models with extended observation densities for biosignal analysis / Iead Rezek, Stephen Roberts -- A probabilistic network for fusion of data and knowledge in clinical microbiology / Steen Andreassen ... [et al.] -- Software for probability models in medical informatics / Richard Dybowski.
  • 2005 CRCnetBASE
    Kang-Tsung Chang.
  • 2007 ProQuest Safari
    Toby Segaran.
  • 2007 Springer
    Susan M. Houston, Lisa Anne Bove.
  • 2005 Springer
    edited by Gabriel Waksman.
  • 2014 Springer
    J.A. Magnuson, Paul C. Fu, Jr., editors.
    Part I. Context for Public Health Informatics -- 1. Introduction to Public Health Informatics / J.A. Magnuson and Patrick W. O'Carroll -- 2. History and Significance of Information Systems and Public Health / John R. Lumpkin and J.A. Magnuson -- 3. Context and Value of Biomedical and Health Informatics / William R. Hersh -- 4. Governmental and Legislative Context of Informatics / Margo Edmunds -- Part II. The Science of Public Health Informatics -- 5. Public Health Informatics Infrastructure / Brian E. Dixon and Shaun J. Grannis -- 6. Information Architecture / Dina Dickerson and Patricia Yao -- 7. Data Sources and Data Tools / Edward Mensah and Johanna L. Goderre -- 8. Public Health Information Standards / J.A. Magnuson, Riki Merrick, and James T. Case -- 9. Privacy, Confidentiality, and Security of Public Health Information / William A. Yasnoff -- 10. Electronic Health Records / Stephen P. Julien -- 11. Ethics, Information Technology, and Public Health: Duties and Challenges in Computational Epidemiology / Kenneth W. Goodman and Eric M. Meslin -- 12. Project Management and Public Health Informatics / James Aspevig -- 13. Evaluation for Public Health Informatics / Paul C. Fu, Jr., Herman Tolentino, and Laura H. Franzke -- Part III. Key Public Health Information Systems -- 14. Informatics in Disease Prevention and Epidemiology / Richard S. Hopkins and J.A. Magnuson -- 15. Informatics in Toxicology and Environmental Public Health / Edwin M. Kilbourne -- 16. Public Health Laboratories / Riki Merrick, Steven H. Hinrichs, and Michelle Meigs -- 17. The National Vital Statistics System / Charles J. Rothwell, Mary Anne Freedman, and James A. Weed -- 18. Risk Factor Information Systems / Alan Tomines -- 19. Setting national Policies and Standards for Immunization Information Systems / Nedra Y. Garrett -- Part IV. New Challenges and Emerging Solutions -- 20. New Means of Data Collection and Accessibility / I. Charie Faught, James Aspevig, and Rita Spear -- 21. Geographic Information Systems / Carol L. Hanchette -- 22. Public Health Informatics and Health Information Exchange / J.A. Magnuson and Paul C. Fu, Jr. -- 23. Decision Support and Expert Systems in Public Health / William A. Yasnoff and Perry L. Miller -- 24. Delivery of Preventive Medicine in Primary Care / Paul C. Fu, Jr., Alan Tomines, and Larry L. Dickey -- 25. Case-Based Learning in Public Health Informatics / Herman Tolentino, Sridhar R. Papagari Sangareddy, Catherine Pepper, and J.A. Magnuson -- Part V. Case Studies: Information Systems and the Strata of Public Health -- 26. Local and Regional Public Health Informatics / Jeffrey M. Kriseman and Brian J. Labus -- 27. Public Health Informatics in High Population States: New York and Ohio / Geraldine S. Johnson, Guthrie S. Birkhead, Rachel Block, Shannon Kelley, James Coates, Bob Campbell, and Brian Fowler -- 28. State Public Health Informatics: Perspective from a Low Population State / James Aspevig -- 29. National Public Health Informatics, United States / Seth Foldy -- 30. Public Health Informatics in Canada / Lawrence E. Frisch, Elizabeth M. Borycki, Alyse Capron, Abla Mawudeku, and Ronald St. John -- 31. Perspectives on Global Public Health Informatics / Janise Richards, Gerry Douglas, and Hamish S.F. Fraser -- Part VI. Epilogue -- 32. Public Health Informatics: The Path Forward / J.A. Magnuson.
  • 2007
    editors, Don Hong, Yu Shyr.
    Status: Not Checked OutLane Catalog Record
    Statistical methodology and stochastic modeling -- Proteomics and genomics -- Survival modeling and analysis -- Mathematical models for diseases -- Computing and visualization.
  • 2012 Springer
    A. Ravishankar Rao, Guillermo A. Cecchi, editors.
    Introduction -- Adaptation and contraction theory for the synchronization of complex neural networks -- Temporal coding is not only about cooperation, it is also about competition -- Using non-oscillatory dynamics to disambiguate pattern mixtures -- Functional constraints on network topology via generalized sparse -- Evolution of time in neural networks, from the present to the past, and forward to the future -- Synchronization of coupled pulse-type hardware neuron models for CPG model -- A univesal abstract-time platform for real-time neural networks -- Solving complex control tasks via simple rule(s), using chaotic dynamics in a recurrent neural network model -- Time scale analysis of neuronal ensemble data used to feed neural network models -- Simultaneous EEG-fMRI, integrating spatial and temporal resolution -- Erratum to: Time scale analysis of neuronal ensemble data used to feed neural network models.
  • 2009 Springer
    rédacteurs: M. Fieschi ... [et al.].
  • 2010
    Mia Alyce Levy.
    The Rule-Based Response Assessment Framework is a goal-driven, context-driven, and knowledge-based temporal interpretation framework that automates response assessment over clinical data. The goal of this work is to enable consistent application of standardized response criteria for clinical trial data analysis, and to enable research and development of response criteria. The Rule-Based Response Assessment Framework defines the dimensions of response assessment including the knowledge and tasks required to apply response criteria to patient data. The Framework consists of several knowledge models and several sub-methods that make up the Response Assessment Method. The framework is implemented using ontologies and rules with the semantic web formalisms of OWL and SWRL respectively. The framework is applied to two response criteria in the oncology domain and one response criterion for rheumatoid arthritis. I demonstrate that the implementation of the Rule-Based Response Assessment Framework is extensible, reusable and enables consistent application of response criteria to patient data and comparison of response criteria within a clinical domain. Future research directions will incorporate the Rule-Based Response Assessment Framework into a larger informatics infrastructure for application and development of oncology response criteria.
  • 2016 Springer
    Abha Agrawal, editor.
  • 2010
    Zhen (Peggy) Yao.
    The conformational selection model is emerging as one of the best options to model protein flexibility in ligand binding. According to this model, a protein spans an ensemble of rapidly inter-converting folded conformations and a ligand selects the most favorable conformations to bind to from this ensemble. However, only a small number of folded conformations can be obtained experimentally (e.g., from X-ray crystallography, NMR spectrometry, or cryo-electron microscopy), while existing computational techniques (e.g., Molecular Dynamics and Monte-Carlo simulation) are often too expensive to sample conformations broadly distributed across the folded state of a protein. This dissertation focuses on designing new computational methods to efficiently explore the folded state of a protein using kino-geometric sampling approach, i.e., an approach that only considers kinematic constraints (fixed bond lengths and angles) and geometric constraints (no collision of atoms modeled as hard spheres). This approach heavily relies on the fact that in a folded state protein atoms are densely packed. The kino-geometric approach is first applied to loop sampling, where the goal is to explore the conformation space of a loop between two secondary structure elements (helices and/or strands) assuming that the conformation of the rest of the protein is fixed and given as input. Next, it is applied to the considerably more complex problem of sampling folded conformations of an entire protein. In both cases, the proposed methods are validated by showing that the kino-geometric sampler is able to produce a relatively small distribution of conformations (of a loop in the first case, and of an entire protein in the second case) that contains one or more conformations at small Root Means Square Deviation (RMSD) from a "target" conformation. This target conformation is not given to the kino-geometric sampler; therefore, the sampling process is not biased toward this conformation. The main computational difficulties in sampling folded protein conformations result from the large dimensionality of the conformation space and the very small relative volume of the folded subspace. While the small volume of the folded subspace is a necessary precondition for any sampling-based exploration method to work (otherwise a prohibitive number of samples would be required to adequately represent the subspace), it also makes it hard to sample conformations that fall into that subspace. The problem is analogous to looking for a pin in a haystack. For loop conformation sampling, a kino-geometric sampling method based on constraint prioritization is proposed. The idea is to break the loop into several pieces and, for each piece, to achieve the most restrictive constraints (geometric or kinematic) first. The method was tested on loops varying in length from 5 to 25 residues. Its combination with a pre-existing functional site prediction software (FEATURE) makes it possible to compute and recognize calcium-binding loop conformations. To sample folded conformations of an entire protein, this dissertation proposes a set of algorithms integrated into a sampler called KGS. Inspired by two previous kino-geometric samplers (ROCK and FRODA), KGS explores the folded state of a protein by expanding a distribution of conformations from an input folded conformation (usually extracted from the Protein Data Bank). Like ROCK and FRODA, it avoids unfolding the protein by selecting stable hydrogen bonds (H-bonds) and integrates them as additional kinematic constraints. But H-bonds result in a protein kinematic model containing many (often several dozens) interdependent closed kinematic cycles. These cycles considerably complicate sampling operations, as the rotatable dihedral angles can no longer be perturbed independently. The contributions of KGS are threefold: 1. It uses a Jacobian-based method to simultaneously deform many cycles of a protein kinematic structure without breaking them. This method is faster than that of ROCK, and allows deformation steps of greater amplitude than FRODA. 2. KGS embeds a new non-biased diffusive strategy that expands quickly away from the input conformation and progressively samples conformations more and more densely distributed over the folded state. 3. To predict H-bond stability, KGS uses a protein-independent model where energetic contribution is only one predictor among others. This model, trained on molecular dynamics data, has been shown to be 20% more accurate than models based on energy alone. Experiments show that KGS can sample functional (binding) conformations of a protein, given a non-functional (non-binding) one, even when the RMSD between the two conformations is large. This work indirectly demonstrates that kinematic and geometric constraints provide a good characterization of the folded state of a protein, despite the fact that they only implicitly and partially encode electrostatic and van der Waals (vdW) energy terms. On the other hand, it is much faster to handle these kino-geometric constraints computationally than energy functions, which are made of many terms.
  • 2012
    Saeed Hassanpour.
    It is well known that the volume of biomedical literature is growing exponentially and that scientists are being overwhelmed when they sift through the scope and diversity of this unstructured knowledge to find relevant information. Prior work on addressing this problem has focused on methods to search for relevant publications and to identify relevant parts of publications. There has been much less research on methods that assist in extracting knowledge from biomedical literature. To tackle this challenge, I present a novel method to support the acquisition of structured knowledge from unstructured text. I have applied my method to support the challenge of identifying rule-based definitions of disease phenotypes. Because background knowledge of complex and diverse medical conditions is critical to undertaking information extraction, I have developed a semantic-based approach. Specifically, I use existing background knowledge to incorporate domain-relevant semantics, such as semantic similarity and rules, into a method for finding publications and the parts of texts within that contain knowledge about phenotype definitions and for identifying the rule or rule format that correctly encodes a phenotype. I have evaluated my method in the autism phenotyping domain, and found that incorporating structured domain knowledge into information extraction provides better accuracy and higher relevance of results than alternative term-based approaches. My novel method can help scientists to rapidly identify and formalize the complex domain knowledge that is emerging in published research findings. My method is also widely applicable to other information extraction challenges where there is a need to accurately extract computer-interpretable definitions, constraints, and policies from text.
  • 2013
    Steve Olson and Autumn S. Downey, rapporteurs ; Forum on Drug Discovery, Development, and Translation, Forum on Neuroscience and Nervous System Disorders, National Cancer Policy Forum, Roundtable on Translating Genomic-Based Research for Health, Board on Health Sciences Policy, Board on Health Care Services, Institute of Medicine of the National Academies.
    Pharmaceutical companies, academic researchers, and government agencies such as the Food and Drug Administration and the National Institutes of Health all possess large quantities of clinical research data. If these data were shared more widely within and across sectors, the resulting research advances derived from data pooling and analysis could improve public health, enhance patient safety, and spur drug development. Data sharing can also increase public trust in clinical trials and conclusions derived from them by lending transparency to the clinical research process. Much of this information, however, is never shared. Retention of clinical research data by investigators and within organizations may represent lost opportunities in biomedical research. Despite the potential benefits that could be accrued from pooling and analysis of shared data, barriers to data sharing faced by researchers in industry include concerns about data mining, erroneous secondary analyses of data, and unwarranted litigation, as well as a desire to protect confidential commercial information. Academic partners face significant cultural barriers to sharing data and participating in longer term collaborative efforts that stem from a desire to protect intellectual autonomy and a career advancement system built on priority of publication and citation requirements. Some barriers, like the need to protect patient privacy, present challenges for both sectors. Looking ahead, there are also a number of technical challenges to be faced in analyzing potentially large and heterogeneous datasets. This public workshop focused on strategies to facilitate sharing of clinical research data in order to advance scientific knowledge and public health. While the workshop focused on sharing of data from preplanned interventional studies of human subjects, models and projects involving sharing of other clinical data types were considered to the extent that they provided lessons learned and best practices. The workshop objectives were to examine the benefits of sharing of clinical research data from all sectors and among these sectors, including, for example: benefits to the research and development enterprise and benefits to the analysis of safety and efficacy. Sharing Clinical Research Data: Workshop Summary identifies barriers and challenges to sharing clinical research data, explores strategies to address these barriers and challenges, including identifying priority actions and "low-hanging fruit" opportunities, and discusses strategies for using these potentially large datasets to facilitate scientific and public health advances.
  • 2015 Springer
    Xiangdong Wang, editor ; honor editors, Xiaoming Chen, Zhihong Sun, Jinglin Xia.
    The volume focuses on the genomics, proteomics, metabolomics, and bioinformatics of a single cell, especially lymphocytes and on understanding the molecular mechanisms of systems immunology. Based on the author?s personal experience, it provides revealing insights into the potential applications, significance, workflow, comparison, future perspectives and challenges of single-cell sequencing for identifying and developing disease-specific biomarkers in order to understand the biological function, activation and dysfunction of single cells and lymphocytes and to explore their functional roles and responses to therapies. It also provides detailed information on individual subgroups of lymphocytes, including cell characters, function, surface markers, receptor function, intracellular signals and pathways, production of inflammatory mediators, nuclear receptors and factors, omics, sequencing, disease-specific biomarkers, bioinformatics, networks and dynamic networks, their role in disease and future prospects. Dr. Xiangdong Wang is a Professor of Medicine, Director of Shanghai Institute of Clinical Bioinformatics, Director of Fudan University Center for Clinical Bioinformatics, Director of the Biomedical Research Center of Zhongshan Hospital, Deputy Director of Shanghai Respiratory Research Institute, Shanghai, China.
  • 2012
    Sarah Joann Aerni.
    Complex organisms contain many individual cells that express unique sets of genes. Unraveling the full complexity of organisms requires an understanding of the unique gene expression signatures of individual cells. Obtaining these cellular signatures enables a deeper understanding of the underlying biological processes, including development and aging. Model organisms, such as C. elegans, are ideal platforms for single-cell studies, offering true single-cell resolution. In the nematode, C. elegans, each of its 959 somatic cells are uniquely identifiable in every individual. Through high-resolution 3D imaging of in-situ fluorescent reporters, expression levels can be observed in all 959 cells. The key to making this powerful system a viable source of discovery through large-scale, high-resolution gene expression analysis requires automation of the annotation process. This dissertation describes computational approaches to identifying single-cells to obtain high-resolution gene expression levels in adult C. elegans. These approaches include an image processing pipeline enabling both manual and automatic annotation of images. For the latter, I describe a set of automatic annotation methods developed for single-cell identification in 3D confocal images of adult C. elegans utilizing machine learning approaches. These approaches automatically assign a set of labels to cells based on (1) cell-lineage, (2) tissue type or (3) the anatomical region occupied within the worm. Finally, this dissertation describes the types of biological insights researchers can gain from such high-resolution data. In particular, it develops a novel gene expression analysis method that combines the known cell lineage and expression levels of 96 genes in 363 single-cells in the first larval stage of C. elegans. Together, these methods provide C. elegans researchers with a powerful toolkit for performing single-cell gene expression analysis of worms. This work enables studies in the field of development and, for the first time, aging at the single-cell resolution using automated annotation approaches in the adult worm.
  • 2009 CRCnetBASE
    Rongling Wu, Min Lin.
    Designs and strategies for genomic mapping and haplotyping -- Genetic haplotyping in natural populations -- Genetic haplotyping in experimental crosses -- A general genetic model for genetic haplotyping -- Basic principle of functional mapping -- Functional mapping of pharmacokinetics and pharmacodynamics -- Haplotyping drug response with a pharmacokinetics-pharmacodynamics link model -- Functional mapping of biological clocks -- Genetic mapping of allometric scaling -- Functional mapping of drug response with allometric scaling -- Joint functional mapping of drug efficacy and toxicity -- Modeling epistatic interactions in drug response -- Mapping genotype-environment interactions in drug response -- Nonparametric functional mapping of drug response -- Semiparametric functional mapping of drug response.
  • 2010
    Shih-jui Lin.
    Cancer screening is critical in clinical practice and public health in order to improve patient prognosis and reduce cancer mortality. In this dissertation, we propose a new approach of assessing the potential of cancer screening, based on estimation of the characteristics of cancer progression. We developed a novel stochastic model of cancer progression and applied this model to lung cancer and breast cancer separately. Model parameters were estimated using data from the Surveillance, Epidemiology and End Results (SEER) cancer registry. The model reproduces SEER, validates against external clinical trials and produces estimates of tumor volume doubling times, likelihood of cure, and mortality reduction that are consistent with empirical data. When applied to lung cancer, the model suggests that under the current treatment regimes, only 6% of patients can be cured in the absence of screening. Despite the high mortality rates from lung cancer, we predict that the majority of lung cancer patients who develop lethal disease could be cured if their primary tumor were detected and treated while it is smaller than 1 cm. To attain a lung cancer mortality reduction of 20% or greater from annual screening, our model estimates that a screen detection threshold of 1.2 cm or lower is necessary, provided there were little to no delay between initial detection and treatment. When applied to breast cancer, our results indicate that likelihood of cure from breast cancer has been improved from 44% in 1975 to 67% in 1993, and a greater fraction of the improvement is attributed to adjuvant therapy than screening. In addition, we found a synergy between adjuvant therapy and screening, which suggests that patients receiving adjuvant therapies would benefit more from screening than those who were not treated by adjuvant therapy, even if there were no improvement in the screening technology. We found that this synergy enables a biannual mammographic screening program to provide benefits that are comparable to an annual program for women age 50 to 69 years. Our model achieves validity and generalizability across different disease types, different cancer characteristics, and different patient cohorts. In this dissertation, we demonstrate the usefulness of this model on estimation of cancer progression timeline and likelihood of cure and its ability to quantify the benefit of screening and treatment. Our approach can be used to provide useful insight for decision making in screening policy, facilitate the design of screening trials, and prioritize novel screening tests based on their potential benefits.
  • 2013 Springer
    Markus Belkin, Brian Corbitt, Nilmini Wickramasinghe.
  • 2012 Springer Protocols
    edited by Wilfried Weger, Martin Fussenegger.
    In silico implementation of synthetic gene networks -- Standardization in synthetic biology -- Robust optimal design of synthetic biological networks -- Predicting synthetic gene networks -- Reprogramming a GFP reporter gene subjects it to complex lentiviral gene regulation -- A high-throughput microfluidic method for generating and characterizing transcription factor mutant libraries -- Identifying and optimizing intracellular protein-protein interactions using bacterial genetic selection -- Zinc-finger nucleases-based genome engineering to generate isogenic human cell lines -- RNA-based networks: Using RNA aptamers and ribozymes as synthetic genetic devices -- MicroRNA circuits for transcriptional logic -- Light-regulated gene expression in yeast -- Light-controlled gene switches in mammalian cells -- Expressed protein modifications: Making synthetic proteins -- Using transcription machinery engineering to elicit complex cellular phenotypes -- Streamlining of a pseudomonas putida genome using a combinatorial deletion method based on minitransposon insertion and the flp-FRT recombination system -- Transposon-based and plasmid-based genetic tools for editing genomes of gram-negative bacteria -- Synthetic networks: Oscillators and toggle switches for escherichia coli -- Studying microbial communities in biofilms -- Quantitative analysis of the spatiotemporal dynamics of a synthetic predator-prey ecosystem -- Drosophila s2 schneider cells: A useful tool for rebuilding and redesigning approaches in synthetic biology -- Synthetic gene networks in plant systems -- Design and construction of synthetic gene networks in mammalian cells -- Synthetic gene networks as blueprint for smart hydrogels.
  • 2011 CRCnetBASE
    editors, R.M. Natal Jorge, João Manuel R.S. Tavares, Marcos Pinotti Barbosa, Alan Peter Slade.
  • 2012 Springer
    edited by Kendall Ho, Sandra Jarvis-Selinger, Helen Novak Lauscher, Jennifer Cordeiro, Richard Scott.
    Rapid progress in health research has led to generation of new knowledge and innovative practices in management of illness. This has resulted in a significant challenge for health professionals: if today we discovered a new therapy through research, when will this discovery be regularly prescribed or utilized to treat all patients suffering from this condition? Knowledge translation is the non-linear and often complicated process of translating knowledge into routine health practices. Technology enabled knowledge translation (TEKT) is the use of information and communication technologies (ICT) to accelerate knowledge translation. With the ubiquity of the internet, the proliferation of different approaches in communication and social networking, and the continuously improving technologies from netbooks to smartphones, there are rich opportunities for TEKT in health education, service delivery, and research.
  • 2013 CRCnetBASE
    (ed.) Fei Hu. The University of Alabama, Electrical and Computer Engineering, Tuscaloosa, Alabama, USA.
    Pt. 1. System : tele-healthcare monitoring networks -- pt. 2. Hardware : medical sensors and devices -- pt. 3. Software : medical signal processing -- pt. 4. Others : medical security and privacy.
  • 2014 Springer
    Fabio Capello, Andrea E. Naimoli, Giuseppe Pili, editors.
    "This book describes in detail the potential role of ICT and electronic systems, together with the application of Web 2.0 technologies, in telepediatrics and child health. Rather than simply proposing engineering solutions that may soon become outdated, it is designed to address those real needs that telemedicine and developers are asked to meet. The orientation of the book is very much toward primary care, and both low- and high-income settings as well as extreme or complex scenarios are considered. The first two sections of the book describe different fields of application, such as the community, the hospital, and children with chronic illnesses or special needs, and examine technical issues. The use of telemedicine in delivery of care in extreme rural settings and developing countries is then discussed, with attention also to major emergencies and humanitarian crises. The closing chapters consider the role of modern technologies in the education of caregivers who work with children. Child health is a crucial issue in both industrialized and developing countries. Telemedicine for Children's Health will be an excellent guide to the potential value of telemedicine devices in reducing the burden for children and parents and in offering quick and concrete solutions in low-resource scenarios"--Provided by publisher.
  • 2012 Springer
    edited by Hans Peter Soyer, Michael Binder, Anthony C. Smith, Elisabeth M.T. Wurm.
    Introduction to Teledermatology -- Historical Review -- Medical Prerequisites -- Technical Prerequisites -- Photographic Imaging Essentials -- Performance of Teledermatology including Clinical Examples -- Teledermatology in Underdeveloping Countries -- Special Methods of Teledermatology -- Teledermatology and Reflectance Confocal Microscopy Quality Assurance -- Legal Assumptions -- Economic Aspects and Cost-effectiveness -- Future Horizons -- APPENDIX: Education and Training Opportunities -- Quality Certificate Teledermatology -- Sample Protocol, Consent Form and Information Sheet -- References and Relevant Web links -- Glossary -- Subject Index.
  • 2011 Springer
    Sajeesh Kumar, Helen Snooks, editors.
  • 2013 Springer
    Sajeesh Kumar, Ellen R. Cohn, editors.
    Telerehabilitation, as a subset of telehealth, is the use of telecommunications to deliver rehabilitation services at a distance and can bridge the gaps created by personnel shortages that exist in underserved and remote areas, as well as serve persons in urban settings who cannot easily leave their homes or offices to seek care. Given the mobile nature of our society, telerehabilitation can enable continuity of care while persons travel for work, vacation and/or education. While the technical capacities to conduct telerehabilitation have surged ahead in the past 10 years, there has been slower, yet ongoing progress in the development of the policies (e.g., legislation; state licensure; reimbursement) that will be required to actualize widespread telepractice service delivery. Telerehabilitation presents a wide-angle view of telerehabilitation worldwide at a seminal time in its development. The book contains contributions from authors across multiple disciplines, as well as a consumer-based perspective. This book contributes significantly to the current understanding of telerehabilitation, as well as elucidating the immense potential for telerehabilitation-based service delivery to benefit persons with disabilities.
  • 2012 Springer
    Peter L. Elkin, editor.
    Introduction / Peter L. Elkin and Mark Samuel Tuttle -- History of Terminology and Terminological Logics / Peter L. Elkin and Mark Samuel Tuttle -- Knowledge Representation and the Logical Basis of Ontology / Peter L. Elkin and Steven H. Brown -- Theoretical Foundations of Terminology / Peter L. Elkin -- Compositionality: An Implementation Guide / Peter L. Elkin and Steven H. Brown -- Interface Terminologies / S. Trent Rosenbloom -- Springer Terminology Related Standards Development / Peter L. Elkin -- Implementations of Terminology / Peter L. Elkin, Mark Samuel Tuttle, Marjorie Rallins, Jennifer Trajkovski and Elizabeth Lumakovska, et al. -- Terminological Systems / Peter L. Elkin and Mark Samuel Tuttle -- Conclusion / Peter L. Elkin and Mark Samuel Tuttle.
  • 2010
    Yael Garten.
    Pharmacogenomics is the study of how variation in the human genome impacts drug response in patients. It is a major driving force of "personalized medicine" in which drug choice and dosing decisions are informed by individual information such as DNA genotype. The field of pharmacogenomics is in an era of explosive growth; massive amounts of data are being collected and knowledge discovered, which promises to push forward the reality of individualized clinical care. However, this large amount of data is dispersed in many journals in the scientific literature and pharmacogenomic findings are discussed in a variety of non-standardized ways. It is thus challenging to identify important associations between drugs and molecular entities, particularly genes and gene variants. Thus, these critical connections are not easily available to investigators or clinicians who wish to survey the state of knowledge for any particular gene, drug, disease or variant. Manual efforts have attempted to catalog this information, however the rapid expansion of pharmacogenomic literature has made this approach infeasible. Natural Language Processing and text mining techniques allow us to convert free-style text to a computable, searchable format in which pharmacogenomic concepts such as genes, drugs, polymorphisms, and diseases are identified, and important links between these concepts are recorded. My dissertation describes novel computational methods to extract and predict pharmacogenomic relationships from text. In one project, we extract pharmacogenomic relationships from the primary literature using text-mining. We process information at the fine-grained sentence level using full text when available. In a second project, we investigate the use of these extracted relationships in place of manually curated relationships as input into an algorithm that predicts pharmacogenes for a drug of interest. We show that for this application we can perform as well with text-mined relationships as with manually curated information. This approach holds great promise as it is cheaper, faster, and more scalable than manual curation. Our method provides us with interesting drug-gene relationship predictions that warrant further experimental investigation. In the third project, we describe knowledge inference in the context of pharmacogenomic relationships. Using cutting-edge natural language processing tools and automated reasoning, we create a rich semantic network of 40,000 pharmacogenomic relationships distilled from 17 million Medline abstracts. This network connects over 200 entity types with clear semantics using more than 70 unique types of relationships. We use this network to create collections of precise and specific types of knowledge, and infer relationships not stated explicitly in the text but rather inferred from the large number of related sentences found in the literature. This is exciting because it demonstrates that we are able to overcome the heterogeneity of written language and infer the correct semantics of the relationship described by authors. Finally, we can use this network to identify conflicting facts described in the literature, to study change in language use over time, and to predict drug-drug interactions. These achievements provide us with new ways of interacting with the literature and the knowledge embedded within it, and help ensure that we do not bury the knowledge embodied in the publications, but rather connect the often fragmented and disconnected pieces of knowledge spread across millions of articles in hundreds of journals. We are thereby brought one step closer to the realization of personalized medicine and ensure that as scientists, we continue to build on the knowledge discovered by past generations and truly to stand on the shoulders of giants.
  • 2008 Springer
    edited by Rene V. Mayorga and Leonid Perlovsky.
  • 2016 Springer
    Jiaqian Wu, Editor ; Honor editor, Dong Kim.
    The Analyses of Global Gene Expression and Transcription Factor Regulation -- Global Approaches to Alternative Splicing and its Regulation -- Recent Advances and Open Questions -- Long Non-coding RNAs: Critical Regulators for Cell Lineage Commitment in the Central Nervous System -- Gene expression models of signaling pathways -- From Gene Expression to Disease Phenotypes: Network-Based Approaches to Study Complex Human Diseases -- Introduction to Isoform Sequencing using Pacific Biosciences Technology (Iso-Seq) -- Systematic and Integrative Analysis of Gene Expression to Identify Feature Genes Underlying Human Diseases.
  • 2010 Springer
    Laura Einbinder, Nancy M. Lorenzi, Joan S. Ash, Cynthia S. Gadd, Jonathan Einbinder, editors.
    Back breaking work: implementing a spine registry in an orthopedic clinic / Brian C. Crolet -- A RHIO struggling to form: will it get off the ground? / Paul Zlotnik, Denny Lee, Mike Minear, and Prashila Dullabh -- A rough ride at the Theodore Roosevelt Cancer Center / Karen Albert, Nitika Gupta, Teresa Mason, Purvi Mehta -- Implementation of an electronic prescription writer in ambulatory care / Minhui Xie and Keven B. Johnson -- Online health care: a classic clash of technology, people and processes / John Butler, Dan Dalan, Brian McCourt, John Norris, and Randall Stewart -- A dungeon of dangerous practices / Andrew Amata, Allen Flynn, Michelle Morgan, Teresa Smith, and Mary Tengdin -- Different sides of the story / Allison B. McCoy -- Barcode medication administration implementation in the FIAT Health System / Linda Chan, William Greeley, Don Klingen, Brian Machado, Michael Padula, John Sum, and Angela Vacca -- H.I.T. or Miss / James McCormack, Bimal R. Desai, Jennifer Garvin, Randal Hamric, Kirk Lalwani, Andi Lushag, Alexey Panchenko, Deborah Quitmeyer, and JoAnna M. Vanderhoef -- The implementation of secure messaging / Zhou Yan -- Who moved my clinic? Donnelly University Pediatric Rehabilitation : the wheelchair clinic / Fredrick Hilliard -- OncoOrders: The early years / Chris Raggio and Judith W. Dexheimer -- Implementing a computerized triage system in the emergency department / Scott R. Levin, Daniel J. France, and Dominik Aronsky -- Medication barcode scanning: Code "Moo": dead COW / Laurie L. Novak and Kathy S. Moss -- Project NEED: new efficiency in an emergency department / Barry Little, Denise Johnson, Jennifer Tingle, Mary Stanfill, and Michael Roy. -- Digital radiology divide at McKinly / Neal Goldstein, David Ross, Ken Christensen, Jayashree Kalpathy-Cramer, Aseem Kumar, and Marilyn Schroeder.
  • v. 1-, 2012- Springer
    Wang, Xiangdong.
  • 2015 Springer
    Philip R.O. Payne, Peter J. Embi, editors.
    Pt. I. The rationale for translational informatics -- An introduction to translational informatics and the future of knowledge-driven healthcare -- A prototype of translational informatics in action -- pt. II. Foundations of translational informatics -- Personalized medicine -- Leveraging electronic health records for phenotyping -- Mining the bibliome -- pt. III. Applications of translational informatics -- Driving clinical and translational research using biomedical informatics -- Using big data -- In silico hypothesis discovery -- Patient engagement and consumerism -- pt. IV. The future of translational informatics and knowledge-driven healthcare -- Future directions for translational informatics.
  • 2013 Springer
    Rocio Garcia-Retamero, Mirta Galesic, editors.
    Recent research in health decision making has shown that many patients, even those with a college education, have difficulties grasping a host of numerical concepts, including percentages and probabilities. Yet, basic numeracy and graph literacy are essential for understanding information relevant to making decisions about health, such as the incidence and prevalence of different diseases, risk reductions from medical screenings and treatments, and risk increases from side effects of treatments and unhealthy behaviors. Patients who have problems understanding such numerical concepts are often prone to errors in risk perception and medical choices. Importantly, informed medical decision making, heavily reinforced these days by the legal requirement for informed consent, depends critically on communication of quantitative medical information. Meeting the challenge of effectively communicating medical information to patients with different levels of numeracy and graph literacy has become more important than ever. Transparent Communication of Health Risks describes a series of cross-cultural studies investigating how people in countries with different medical and educational systems understand numerical and graphical information, what they know about existing medical treatments and screenings, which presentation formats help them better understand the relevant information, and how they use the data to make medical decisions. Focusing on the careful measurement of necessary knowledge and skills, the book also includes validated numeracy and graph literacy scales in English, Spanish, and German. Some of the topics covered in the book are:numeracy and graph literacy for health;measuring risk comprehension in educated samples;communicating information about medical treatment and screening;reducing the effect of framed messages about health;the effect of individual differences on shared decision making; andtransparent health information in the media.Transparent Communication of Health Risks emphasizes the importance and value of working toward the development of tailored risk communication interventions and clarifies the tasks ahead for health psychologists, public health professionals, pharmaceutical and medical education companies, medical physicists, and nurses.
  • 2016 Springer
    Ton J. Cleophas, Aeilko H. Zwinderman.
    Randomness -- Randomized and Observational Research -- Randomized Clinical Trials, history, Designs -- Randomized Clinical Trials, Analysis Sets, Statistical Analysis, Reporting Issues -- Discrete Data Analysis, Failure Time Data Analysis -- Quantitative Data Analysis -- Subgroup Analysis -- Interim Analysis -- Multiplicity Analysis -- Medical Statistics : a Discipline at the Interface of Biology and Mathematics.
  • 2013 Springer
    Prashanth N. Suravajhala.
    The book is a ready reckoner aimed at the student community aspiring to take up a career in bioinformatics. The book firstly provides a perspective on the domain and addresses the challenges faced by community namely the attempts to understand data produced by genome sequencing projects. It then brings to light High Performance Computing (HPC) as it helps in interpreting and analyzing genome sequences. The book also dwells on how interactions in a systems (organism), the components that interact with each other and the outcome of such interactions. It then calls for a consensus on the tools like rapid and inexpensive DNA sequencing technologies, HAPMAP projects, Dollar One Genome (DOG), to enable a reader understand how bioinformatics transits from research, to vocation and avocation. Further it extols the virtues of in silico for bioinformatical predictions as it helps wet-lab biologists reduce time for experiments. Also it describes the intricacies of bioinformatics and its usefulness to wet-based biologists and other cross-disciplinarians. The book lists out 10 reasons for taking up bioinformatics as a career, and includes insights from global experts on the domain. It also makes a case for a mediocre student getting into bioinformatics with discipline, determination, dynamism and diligence. The book further describes BioinformaTICKS a tool for emerging as a winner in bioinformatics.
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