Lane Medical Library

Books by Subject

Medical Informatics

  • Digital
    edited by Christian Schönbach, Shoba Ranganathan, and Vladimir Brusic.
    Springer2008
    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.
  • Digital
    edited by Rajat K. De, Namrata Tomar.
    Springer Protocols2014
    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.
  • Digital
    Divya Srinivasan.
    ProQuest Ebook Central2013Limited to 1 simultaneous users
    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.
  • Print
    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
  • Digital
    Vitali Sintchenko, editor.
    Springer2010
    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.
  • Digital
    edited by John Mantas and Arie Hasman.
    ProQuest Ebook Central2013
  • Digital
    Eta S. Berner, editor.
    Springer2014
    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.
  • Digital
    Naakesh Dewan, John Luo, Nancy M. Lorenzi, editors.
    Springer2011
    pt. 1. Overview -- pt. 2. Clinical practice issues -- pt. 3. Patient and client centric technologies section -- pt. 4. Organizational issues.
  • Digital
    Leonard Berliner, Heinz U. Lemke, editors.
    Springer2015
    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.
  • Digital
    edited by Christian Nøhr and Jos Aarts.
    ProQuest Ebook Central2010
  • Digital
    Stephen Goundrey-Smith.
    Springer2013
    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.
  • Digital
    Lyle Berkowitz, Chris McCarthy, editors.
    Springer2013
    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.
  • Digital
    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.
  • Digital
    Valerie Powell ... [et al.], editors.
    Springer2012
    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.
  • Digital
    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.
  • Digital
    Syed V. Ahamed.
    ScienceDirect2013
    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.
  • Digital
    edited by Elizabeth M. Borycki, John A. Bartle-Clar, Mowafa S. Househ, Craig E. Kuziemsky, and Ellen G. Schraa.
    ProQuest Ebook Central2011
    Clinical decision support -- Clinical informatics -- E-learning and education -- Evaluation -- Health records -- Health informatics initiatives in developing countries -- Healthcare modeling and simulation -- Human computer interaction -- Initiatives in international health informatics -- On-line communities -- Methods -- Nursing informatics -- Public health informatics -- Safety and quality management -- Standardization and interoperability -- Telehealth.
  • Digital
    Melissa L. Rethlefsen, David L. Rothman, Daniel S. Mojon.
    Springer2009
  • Digital
    K.J. Hannah ... [and others], editors.
    Springer2015
    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.
  • Digital
    S. B. Bhattacharyya.
    Springer2016
    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. .
  • Digital
    edited by Aziz Sheikh, Kathrin M. Cresswell, Adam Wright, David W. Bates ; foreword by Sir John Savill.
    ScienceDirect2017
    Key Advances in Clinical Informatics: Transforming Health Care through Health Information Technology provides a state-of-the-art overview of the most current subjects in clinical informatics. Leading international authorities write short, accessible, well-referenced chapters which bring readers up-to-date with key developments and likely future advances in the relevant subject areas. This book encompasses topics such as inpatient and outpatient clinical information systems, clinical decision support systems, health information technology, genomics, mobile health, telehealth and cloud-based computing. Additionally, it discusses privacy, confidentiality and security required for health data. Edited by internationally recognized authorities in the field of clinical informatics, the book is a valuable resource for medical/nursing students, clinical informaticists, clinicians in training, practicing clinicians and allied health professionals with an interest in health informatics.
  • Digital
    David Rian̋o (ed.).
    Springer2008
    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.
  • Digital
    edited by Bernd Blobel, Rolf Engelbrecht, and Michael A. Shifrin.
    ProQuest Ebook Central2012
  • Digital
    Nilmini Wickramasinghe, Latif Al-Hakim, Chris Gonzalez, Joseph Tan, editors.
    Springer2014
    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.
  • Digital
    Charles C. Tseng, Xiaoli Yang.
    Springer2014
    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.
  • Print
    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.
  • Digital
    by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Eugene P. Cleophas, Henny I. Cleophas-Allers.
    Springerpt. 1, 2013
    Springerpt. 2, 2013
    Springerpt. 3, 2013
  • Digital
    Braithwaite, William R.; Humphreys, Betsy L.; Lasker, Roz D.
  • Digital
    Philip A. Smith.
    Springer2013
    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.
  • Digital/Print
    James D. Tisdall.
    Digital : ProQuest Safari2003
    Print2003
  • Digital
    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.
  • Digital
    edited by Lodewijk Bos, Bernd Blobel, Stephen Benton, and Denis Carroll.
    ProQuest Ebook Central2010
  • Digital
    Xiaohong Gao, Henning Müller, Martin J. Loomes, Richard Comley, Shuqian Luo.
    Springer2008
  • Digital
    Alain Venot, Anita Burgun, Catherine Quantin, editors.
    Springer2014
    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.
  • Digital/Print
    Steven A. Cole, Julian Bird.
    Digital : ClinicalKey2014
    Print2014
    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.
  • Print
    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.
  • Digital
    edited by James D. Westwood, Susan W. Westwood MA, Li Fellander-Tsai MD PhD, Randy S. Haluck MD FACS, Richard A. Robb PhD, Steven Senger PhD, and Kirby G. Vosburgh PhD.
    ProQuest Ebook Central2013
  • Digital
    edited by Catherine Arnott Smith and Alla Keselman.
    ScienceDirect2015
    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.
  • Digital
    Naakesh A. Dewan, John S. Luo, Nancy M. Lorenzi, editors.
    Springer2015
    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.
  • Digital
    Prakash M. Nadkarni.
    Springer2011
    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.
  • Digital
    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.
  • Digital
    edited by Indra Neil Sarkar.
    ScienceDirect2014
    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.
  • Digital
    Suhail A. R. Doi, Gail M. Williams, editors.
    Springer2013
    "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.
  • Digital/Print
    edited by Ulf Schmitz, Olaf Wolkenhauer, Julio Vera.
    Digital : Springer2013
    Print2013
    "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.
  • Digital
    edited by Avraham Rasooly, Keith E. Herold.
    Springer Protocols2015
    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.
  • Digital
    Wan Tang, Xin Tu, editors.
    Springer2013
    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.
  • Digital
    Dmitrij Frishman, Alfonso Valencia, editors.
    Springer2008
  • Digital
    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.
  • Digital
    edited by David J. Russell.
    Springer Protocols2014
    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.
  • Print
    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.
  • Digital
    editors, Jeffrey Beck [and thirteen others] ; reviewers, Kathi Canese [and five others] ; copy-editor, Stacy Lathrop.
    NCBI Bookshelf2013-
    "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.
  • Digital
    [Diana Airozo ... et al.].
    NCBI Bookshelf2004-
  • Digital
    edited by Ana Rita Londral, Pedro Encarnação, José Luis Pons Rovira, editors.
    Springer2015
  • Digital
    Lee-Jun C. Wong, editor.
    Springer2013
    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.
  • Digital
    Errol R. Norwitz, George R. Saade, Hugh Miller, Christina Davidson.
    Wiley2017
    Front Matter -- Preventative Health. Abnormal Pap Smear in Pregnancy -- Immunization -- Preconception Care -- Prenatal Care1 -- Maternal Disorders. Antiphospholipid Antibody Syndrome -- Asthma -- Cholestasis of Pregnancy -- Chronic Hypertension1 -- Deep Vein Thrombosis -- Gestational Diabetes Mellitus1,2 -- Gestational Hypertension1 -- Preeclampsia -- Pregestational Diabetes Mellitus -- Pulmonary Edema -- Pulmonary Embolism1 -- Renal Disease -- Seizure Disorder -- Systemic Lupus Erythematosus -- Thrombocytopenia -- Thyroid Dysfunction -- Infectious Complications. Asymptomatic Bacteriuria1 -- Urinary Tract Infection/Pyelonephritis -- Lower Genital Tract Infection -- Group B [beta]-Hemolytic Streptococcus1 -- Hepatitis B -- Herpes Simplex Virus -- Human Immunodeficiency Virus -- Parvovirus B19 -- Syphilis -- Tuberculosis1 -- Chorioamnionitis (Intraamniotic Infection)1 -- Antenatal Complications. Advanced Maternal Age -- Antepartum Fetal Testing1 -- Breast Lesions -- Cervical Insufficiency -- First‐trimester Vaginal Bleeding -- Higher-Order Multifetal Pregnancy -- Hyperemesis Gravidarum -- Intrauterine Fetal Demise -- Fetal Growth Restriction1 -- Isoimmunization -- Macrosomia -- Medically-Indicated Late Preterm and Early Term Delivery -- Obesity -- Oligohydramnios1 -- Recurrent Pregnancy Loss -- Placenta Accreta -- Placenta Previa -- Placental Abruption -- Polyhydramnios1 -- Post-term Pregnancy1 -- Pregnancy Termination -- Prenatal Diagnosis -- Preterm Labor -- Screening for Preterm Birth -- Preterm Premature Rupture of the Membranes1 -- Vaginal Birth after Cesarean (VBAC) -- Teratology -- Term Premature Rupture of the Membranes1 -- Twin Pregnancy -- Intrapartum/Postpartum Complications. Breech Presentation -- Intrapartum Fetal Testing1 -- Cesarean Delivery -- Operative Vaginal Delivery1 -- Severe Perineal Lacerations1 -- Intrapartum Management of Twin Pregnancy -- Postpartum Hemorrhage1 -- Retained Placenta -- Postpartum Endomyometritis1 -- Mastitis -- Vasa Previa -- Postpartum Psychiatric Disorders -- Sterilization1 -- Obstetric Emergencies. Acute Abdomen in Pregnancy -- Acute Asthma Exacerbation -- Acute Shortness of Breath -- Cord Prolapse -- Cardiopulmonary Resuscitation -- Diabetic Ketoacidosis1 -- Eclampsia -- Shoulder Dystocia1 -- Thyroid Storm -- Recommended Reading.
  • Digital
    Krisa Tailor.
    Wiley2016
    ProQuest Ebook Central2016
    ProQuest Safari2016
    "The future of the health care industry rests on advanced analytics Health Data's Destiny provides a visionary overview of how advanced analytics is set to transform the health care industry. Beginning with the plethora of opportunities already in place, this book addresses the ways in which each stakeholder--payers, providers, governments, consumers, entrepreneurs, employers, and others--can benefit from the next generation of health data. The future of the industry is laid out in terms of technology, data sources, and integrated systems, giving you an expansive, holistic, yet reality-based preview of what's to come. Claims and clinical data are only the beginning; upcoming sources like mobile applications, wearable technology, and more are beginning to provide the kind of patient data that will lead to an integrated, connected health care system in which advanced analytics is key in establishing premier patient care. The health care industry's size, scope, and sheer complexity make developing an integrated system all the more difficult. This book shows how big data and advanced analytics can streamline the process and make the vision a reality. Improve outcomes, reduce cost, and establish the best patient care Learn how data is being used, and how it will continue to evolve Discover how up-and-coming data sources will revolutionize health care Stay on the front lines of innovation with mobile and "wearable" data Data is the future of health care, and smart organizations are putting systems and strategies in place now to continue providing top-of-the-line care as technology evolves and the environment changes. Health Data's Destiny gives you a preview of the future, so you can stay out in front and not get left behind"-- Provided by publisher.
  • Digital
    Roy C.P. Kerckhoffs, editor.
    Springer2010
    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.
  • Digital
    editor, John J. Hutton.
    Springer2012
    "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.
  • Digital
    John J. Hutton, editor.
    Springer2016
    The book 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. .
  • Digital
    Christoph U. Lehmann, George R. Kim, Kevin B. Johnson, editors.
    Springer2009
  • Digital
    Michael Christopher Gibbons, Rajeev Bali, Nilmini Wickramasinghe, editors.
    Springer2010
    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.].
  • Digital
    Rajeev K. Bali, Indrit Troshani, Steve Goldberg, Nilmini Wickramasinghe, editors.
    Springer2013
    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.
  • Digital
    edited by Liron Pantanowitz, Anil V. Parwani.
    Springer2014
    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.
  • Digital
    Ira J. Kalet, Ph.D.
    ScienceDirect2014
    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.
  • Digital
    Stephen Goundrey-Smith.
    Springer2008
  • Digital
    Stephen Goundrey-Smith.
    Springer2012
    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.
  • Digital
    Tim Benson, Grahame Grieve.
    Springer2016
    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.
  • Digital
    Tim Benson.
    Springer2010
    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.
  • Digital
    Tim Benson.
    Springer2012
    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.
  • Digital
    edited by Mukesh Verma, Debmalya Barh.
    ScienceDirect2017
    Introduction / C. Hizel, J. Tremblay, G. Bartlett and P. Hamet -- Clinical next-generation sequencing / D. Dhawan -- Phenotyping in precision medicine / R.Z. Paracha, A. Obaid and A. Ali -- Cancer genetic screening and ethical considerations for precision medicine / R.G. Dumitrescu -- Precision medicine in primary health care / G. Bartlett, M. Dawes, Q. Nguyen and M.S. Phillips -- Population approach to precision medicine / M. Verma -- Regulation of genomic testing in the era of precision medicine / A. Ali, A. Hassan, S. Rehman, S.T. Ashraf, K. Naz and A. Naz -- Image-based modeling and precision medicine / N.I. Soormo and S.M. Bakhtiar -- Sharing outside the sandbox? / V. Rahimzadeh -- Lessons learned from cohort studies, and hospital-based studies and their implications in precision medicine / A. Munshi, V. Sharma and S. Sharma -- Clinical trials in precision medicine / R. Simon -- Time to educate physicians and hospital staff in electronic medical records for precision medicine / S. Sharma, A. Munshi and V. Sharma -- Computational approaches in precision medicine / J. Espinal-Enríquez, R.A. Mejía-Pedroza and E. Hernández-Lemus -- Handling big data in precision medicine / E. Hernández-Lemus, J. Espinal-Enríquez and R. García-Herrera -- Trends in precision medicine / Jaspreet Kaur, B. Rahat, S. Thakur and Jyotdeep Kaur -- Personalized medicine / V. Lemay, P. Hamet, C. Hizel, É. Lemarié and Y. Tremblay.
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    Sundeep Sahay, T. Sundararaman, Jørn Braa.
    Oxford Medicine Online2017
    Challenges in the design, development, and implementation of health information systems, particularly in low and middle income countries, and examines approaches to addressing these.
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    J.A. Magnuson, Paul C. Fu, Jr., editors.
    Springer2014
    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.
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    Paul Cerrato, John Halamka.
    ScienceDirect2018
    "Realizing the Promise of Precision Medicine: The Role of Patient Data, Mobile Technology, and Consumer Engagement explains the potential of personalized medicine and the value of those approaches in making that potential a reality. The book helps transform one-size-fits-all healthcare into a system that focuses on individual needs and the unique needs of each family member, discussing topics such as U.S. sponsored precision medicine initiative, genomics, the role of electronic health records and mobile medicine, patient engagement and empowerment, health information exchange and patient data protection. In addition, the book discusses the barriers and limitations of precision medicine and how to overcome them. Readers will find valuable insights into how big data, patient engagement, mobile technology, and genomics help individualize medical care and offer a pathway to help detect many undiscovered causes of diseases.Provides drawings and flow charts to help readers visualize the breadth and depth of precision medicine includes sidebars with more details on specific topics for a complementary, deeper understanding of text. Uses case studies to turn abstract concepts into flesh and blood examples of how personalized medicine benefits patients"-- Provided by publisher.
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    Eric W. Fleegler, Clement J. Bottino, Aaron Pikcillngis, Beth Baker, Emmett Kistler, and Areej Hassan.
    This paper will discuss collaboration between Boston Children's Hospital and the Boston Public Health Commission to develop, evaluate, and deploy HelpSteps.com, a web-based screening and referral system for social problems that connects individuals and families to social services (see Figure 1 for a view of the HelpSteps interface). The paper will appraise the benefits of multidisciplinary collaboration and discuss the challenges of sustained implementation within the current health care environment. The future goals and the potential for radically meeting the social needs of families are discussed.
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    A. Ravishankar Rao, Guillermo A. Cecchi, editors.
    Springer2012
    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.
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    rédacteurs: M. Fieschi ... [et al.].
    Springer2009
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    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.
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    Abha Agrawal, editor.
    Springer2016
    Chapter 1. First Do No Harm: An overview of HIT and Patient Safety -- Chapter 2. An overview of HIT-related errors -- Section I. Errors Related to Various Types of Health Information Technologies -- Chapter 3. Errors related to CPOE -- Chapter 4. Errors related to alert fatigue -- Chapter 5. Unintended consequences of bar-code assisted medication administration -- Chapter 6. Errors related to outpatient e-prescribing -- Chapter 7. Errors related to alarms and monitors -- Chapter 8. Errors related to personal mobile technology -- Section II. Health Information Technology Implementation Issues -- Chapter 9. Improving clinical documentation integrity -- Chapter 10. EHR and physician-patient communication -- Chapter 11. Patient identification errors and HIT: Friend or foe? -- Chapter 12. Errors related to health information exchange -- Section III. Specialty Considerations -- Chapter 13. Safety considerations in radiation therapy -- Chapter 14. Safety considerations in pediatric informatics -- Chapter 15.Safety considerations in ambulatory care informatics -- Section IV. Organizational Considerations -- Chapter 16. Health information technology and medical liability risks -- Chapter 17. Improving safety through enterprise risk management -- Chapter 18. Managing HIT contract process for patient safety -- Chapter 19. Improving safety of medical device use through training.
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    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.
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    edited by Bernd Blobel, Ebba Þhóra Hvannberg and Valgerður Gunnarsdóttir.
    ProQuest Ebook Central2010
    This book contains the proceedings of the Tenth European Federation for Medical Informatics (EFMI) Special Topic Conference 2010; Europe's leading forum for presenting the results of current scientific work in health informatics processes, systems and technologies. Included are two invited keynotes, one session keynote and 25 full papers, selected by the Scientific Programme Committee from 61 submissions, each rigorously reviewed by three reviewers. Subjects include: Electronic health records and personal health records, traceability, security, privacy and safety and quality, as well as interoperability and standards, patient empowerment, satisfaction and safety, continuity of care and device integration. Most of the topics are interdisciplinary in nature and the book will be of interest not only to those scientists involved with medical, bio- and health informatics, but to all health administrators, medical professionals and representatives of industry and consultancy in the various health fields.
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    MIT Critical Data.
    Springer2016
    Introduction to the Book -- Objectives of secondary analysis of EHR data -- Review of clinical database -- Challenges and opportunities -- Secondary Analysis of EHR Data Cookbook -- Overview -- Step 1: Formulate research question -- Step 2: Data extraction and preprocessing -- Step 3: Exploratory Analysis -- Step 4: Data analysis -- Step 5: Validation and sensitivity analysis -- Missing Data -- Noise vs. Outliers -- Case Studies -- Introduction -- Predictive Modeling: outcome prediction (discrete) -- Predictive Modeling: dose optimization (regression) -- Pharmacovigilance (classification) -- Comparative effectiveness: propensity score analysis -- Comparative effectiveness: instrumental variable analysis -- Decision and Cost Effectiveness Analysis: Hidden Markov models and Monte Carlo simulation -- Time series analysis: Gaussian processes (ICP modelling) -- Time series analysis: Bayesian inference (Motif discovery in numerical signals) -- Time Series analysis: Optimization techniques for hyperparameter selection -- Signal processing: analysis of waveform data -- Signal processing: False alarm reduction.
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    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.
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    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.
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    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.
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    Xiangdong Wang, editor ; honor editors, Xiaoming Chen, Zhihong Sun, Jinglin Xia.
    Springer2015
    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.
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    Julie Dawn Thompson.
    ScienceDirect2016
    Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs.
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    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.
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    Markus Belkin, Brian Corbitt, Nilmini Wickramasinghe.
    Springer2013
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    edited by Renata G. Bushko.
    ProQuest Ebook Central2009
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    edited by Wilfried Weger, Martin Fussenegger.
    Springer Protocols2012
    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.
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    edited by Kendall Ho, Sandra Jarvis-Selinger, Helen Novak Lauscher, Jennifer Cordeiro, Richard Scott.
    Springer2012
    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.
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    Fabio Capello, Andrea E. Naimoli, Giuseppe Pili, editors.
    Springer2014
    "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.
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    edited by Hans Peter Soyer, Michael Binder, Anthony C. Smith, Elisabeth M.T. Wurm.
    Springer2012
    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.
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    Sajeesh Kumar, Helen Snooks, editors.
    Springer2011
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    Sajeesh Kumar, Ellen R. Cohn, editors.
    Springer2013
    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.
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    Peter L. Elkin, editor.
    Springer2012
    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.
  • Digital
    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.
  • Digital
    edited by Rene V. Mayorga and Leonid Perlovsky.
    Springer2008
  • Digital
    edited by Georges J.E. De Moor.
    ProQuest Ebook Central2011
  • Digital
    Jiaqian Wu, Editor ; Honor editor, Dong Kim.
    Springer2016
    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.

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