Books by Subject


  • Siddhartha Chaudhuri.
    Creating detailed three-dimensional shapes on the computer is hard. The standard tools for the task are complex and require long training and familiarization. As a result, 3D modeling is typically the domain of the professional artist and not the casual user. Professionals invest the time to master their tools, but such tools are usually restricted to low-level sculpting operations. High-level reasoning and geometric manipulation, of which computers are well capable, are not used to help the artist reach her goals more efficiently or creatively. In this dissertation, I propose techniques by which computers, endowed with a greater understanding of the structure of shapes, can both support the creative pursuits of professionals, as well as significantly ease the burden of 3D modeling for the casual user. To this end, I describe methods for generating "suggestions" during the 3D modeling process: component shapes that may be directly used to augment the currently-modeled shape, or to inspire directions for its further development. These suggestions are drawn from a large library of previously-modeled shapes. Also, I discuss the construction of an assembly-based modeling tool that enables casual users to rapidly construct shapes from suggested components, with minimal training. Experiments with both professional and casual users suggest that this approach successfully supports rapid, creative 3D modeling.
  • 2011From: ProQuest Safari
    Paul Teetor.
  • 2007From: ProQuest Safari
    Jerry Joyce, Marianne Moon.
    About this book -- Working in Office -- Common tasks in Office -- Viewing and editing text in Word -- Formatting in Word -- Working with special content in Word -- Working in Excel -- Analyzing and presenting data in Excel -- Creating a PowerPoint presentation -- Presenting a PowerPoint slide show -- Working with messages in Outlook -- Organizing with Outlook -- Creating a publication in Publisher -- Working in Access -- Exchanging information among Office programs -- Customizing and securing Office.
  • 2014From: ScienceDirect
    Jung W. Suh, Youngmin Kim.
    "Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers' projects. Download example codes from the publisher's website: Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge -- Explains the related background on hardware, architecture and programming for ease of use -- Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects."--Provided by publisher.
  • 2007From: ProQuest Safari
    Matthew MacDonald.
  • 2007Click LINK above for additional Print location/circulation status.
    2007From: ProQuest Safari
    Ken Bluttman and Wayne S. Freeze.
    Also available: Print – 2007
  • 2007From: ProQuest Safari
    Stephanie Krieger.
  • 2016From: OSO
    Ron Sun.
  • 2014From: ProQuest Safari
    Surendra Mohan.
  • 2013From: CRCnetBASE
    Ding-Geng (Din) Chen, Karl E. Peace.
    "Preface In Chapter 8 of our previous book (Chen and Peace, 2010), we briefy introduced meta-analysis using R. Since then, we have been encouraged to develop an entire book on meta-analyses using R that would include a wide variety of applications - which is the theme of this book. In this book we provide a thorough presentation of meta-analysis with detailed step-by-step illustrations on their implementation using R. In each chapter, examples of real studies compiled from the literature and scienti c publications are presented. After presenting the data and sufficient background to permit understanding the application, various meta-analysis methods appropriate for analyzing data are identi ed. Then analysis code is developed using appropriate R packages and functions to meta-analyze the data. Analysis code development and results are presented in a stepwise fashion. This stepwise approach should enable readers to follow the logic and gain an understanding of the analysis methods and the R implementation so that they may use R and the steps in this book to analyze their own meta-data. Based on their experience in biostatistical research and teaching biostatistical meta-analysis, the authors understand that there are gaps between developed statistical methods and applications of statistical methods by students and practitioners. This book is intended to ll this gap by illustrating the implementation of statistical mata-analysis methods using R applied to real data following a step-by-step presentation style. With this style, the book is suitable as a text for a course in meta-data analysis at the graduate level (Master's or Doctorate's), particularly for students seeking degrees in statistics or biostatistics"-- Provided by publisher.
  • 2017From: CRCnetBASE
    Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der Elst.
    I. Introductory material -- II. Contemporary surrogate endpoint evaluation methods : multiple-trial methods -- III. Software tools -- IV. Additional considerations and further topics.
  • 2006From: ProQuest Safari
    Stephane Faroult with Peter Robson.
  • 2015From: Springer Protocols
    edited by Hugh Cartwright.
    Introduction to the analysis of the intracellular sorting information in protein sequences: from molecular biology to artificial neural networks -- Protein structural information derived from NMR chemical shift with the neural network program TALOS-N -- Predicting bacterial community assemblages using an artificial neural network approach -- A general ANN-based multitasking model for the discovery of potent and safer antibacterial agents -- Use of artificial neural networks in the QSAR prediction of physicochemical properties and toxicities for REACH legislation -- Artificial neural network for charge prediction in metabolite identification by mass spectrometry -- Prediction of bioactive peptides using artificial neural networks -- AutoWeka: toward an automated data mining software for QSAR and QSPR studies -- Ligand biological activity predictions using fingerprint-based artificial neural networks (FANN-QSAR) -- GENN: a general neural network for learning tabulated data with examples from protein structure prediction -- Modulation of grasping force in prosthetic hands using neural network-based predictive control -- Application of artificial neural networks in computer-aided diagnosis -- Developing a multimodal biometric authentication system using soft computing methods -- Using neural networks to understand the information that guides behavior: a case study in visual navigation -- Jump neural network for real-time prediction of glucose concentration -- Preparation of Ta-O-based tunnel junctions to obtain artificial synapses based on memristive switching -- Architecture and biological applications of artificial neural networks: a tuberculosis perspective -- Neural networks and fuzzy clustering methods for assessing the efficacy of microarray based intrinsic gene signatures in breast cancer classification and the character and relations of identified subtypes -- QSAR/QSPR as an application of artificial neural networks -- Preface. Artificial neural networks.
  • 2008From: Springer Protocols
    David J. Livingstone, editor.
    Artificial neural networks in biology and chemistry : the evolution of a new analytical tool / Hugh M. Cartwright -- Overview of artificial neural networks / Jinming Zou, Yi Han, and Sung-Sau So -- Bayesian regularization of neural networks / Frank Burden and Dave Winkler -- Kohonen and counterpropagation neural networks applied for mapping and interpretation of IR spectra / Marjana Novic -- Artificial neural network modeling in environmental toxicology / James Devillers -- Neural networks in analytical chemistry / Mehdi Jalali-Heravi -- Application of artificial neural networks for decision support in medicine / Brendan Larder, Dechao Wang, and Andy Revell -- Neural networks in building QSAR models / Igor I. Baskin, Vladimir A. Palyulin, and Nikolai S. Zefirov -- Peptide bioinformatics : peptide classification using peptide machines / Zheng Rong Yang -- Associative neural network / Igor V. Tetko -- Neural networks predict protein structure and function / Marco Punta and Burkhard Rost -- The extraction of information and knowledge from trained neural networks / David J. Livingstone ... [et al.].
  • 2008From: Springer
    Lionel Prevost, Simone Marinai, Friedhelm Schwenker (eds.).
  • 2007Click LINK above for Print location/circulation status.
    2007From: CRCnetBASE
    Brian D. Bissett.
  • 2012From: CRCnetBASE
    Phil Woodward.
    "Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand. Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but either are not experts or do not have the time to create WinBUGS code and ancillary files for every analysis they undertake. Accessible to even those who would not routinely use Excel, this book provides a custom-made Excel GUI, immediately useful to those users who want to be able to quickly apply Bayesian methods without being distracted by computing or mathematical issues.From simple NLMs to complex GLMMs and beyond, Bayesian Analysis Made Simple describes how to use Excel for a vast range of Bayesian models in an intuitive manner accessible to the statistically savvy user. Packed with relevant case studies, this book is for any data analyst wishing to apply Bayesian methods to analyze their data, from professional statisticians to statistically aware scientists"-- Provided by publisher.
  • 2007From: Springer
    Jim Albert.
    "Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language. The early chapters present the basic tenets of Bayesian thinking by use of familiar one and two-parameter inferential problems. Bayesian computational methods such as Laplace's method, rejection sampling, and the SIR algorithm are illustrated in the context of a random effects model. The construction and implementation of Markov Chain Monte Carlo (MCMC) methods is introduced. These simulation-based algorithms are implemented for a variety of Bayesian applications such as normal and binary response regression, hierarchical modeling, order-restricted inference, and robust modeling. Algorithms written in R are used to develop Bayesian tests and assess Bayesian models by use of the posterior predictive distribution. The use of R to interface with WinBUGS, a popular MCMC computing language, is described with several illustrative examples."--Jacket.
  • 2006From: CRCnetBASE
    David McMahon, Daniel M. Topa.
  • 2007From: ProQuest Safari
    Cliff Atkinson
    A guide to using Microsoft PowerPoint describes how to use storytelling techniques to create effective business presentations.
  • 2005From: Springer
    editors, Robert Gentleman ... [et al.].
    Also available: Print – 2005
  • 2014From: Wiley
    by Tien Tuan Dao, Marie-Christine Ho Ba Tho.
    Chapter 1. Biomechanics of the musculoskeletal system -- Chapter 2. Modeling of biomedical data uncertainty -- Chapter 3. Knowledge modeling in biomechanics of the musculoskeletal system -- Chapter 4. Clinical applications of biomechanical and knowledge-based models -- Chapter 5. Software and tools for knowledge modeling and reasoning/interference.
  • 2015From: Wiley
    Carlos Reyes-Aldasoro.
    As its title suggests, this innovative book has been written for life scientists needing to analyse their data sets, and programmers, wanting a better understanding of the types of experimental images life scientists investigate on a regular basis. Each chapter presents one self-contained biomedical experiment to be analysed. Part I of the book presents its two basic ingredients: essential concepts of image analysis and Matlab. In Part II, algorithms and techniques are shown as series of 'recipes' or solved examples that show how specific techniques are applied to a biomedical experiments like Western Blots, Histology, Scratch Wound Assays and Fluoresence. Each recipe begins with simple techniques that gradually advance in complexity. Part III presents some advanced techniques for the generation of publication quality figures. The book does not assume any computational or mathematical expertise.
  • 2015From: Wiley
    [edited by] Joo Hwee Lim, Sim Heng Ong, Wei Xiong.
    Overview of biomedical image understanding methods / Wei Xiong, Jierong Cheng, Ying Gu, Shimiao Li and Joo Hwee Lim -- Medical image segmentation and its application in cardiac MRI / Dong Wei, Chao Li and Ying Sun -- Retinal vascular measurements with VAMPIRE / Emanuele Trucco, Andrea Giachetti, Lucia Ballerini, Devanjali Relan, Alessandro Cavinato and Tom MacGillivray -- Analyzing cell and tissue morphologies using pattern recognition algorithms / Hwee Kuan Lee, Yan Nei Law, ChaoHui Huang and Choon Kong Yap -- 3D nonrigid image registration by Parzenwindow based normalized mutual information / Rui Xu, YenWei Chen, Shigehiro Morikawa and Yoshimasa Kurumi -- 2D/3D image registration for endovascular abdominal aortic aneurysm (AAA) repair / Shun Miao and Rui Liao -- Motion tracking in medical images / Chuqing Cao, Chao Li and Ying Sun -- Blood smear analysis and malaria infection detection from blood cell images / Wei Xiong, SimHeng Ong, Joo Hwee Lim, Jierong Cheng and Ying Gu -- Liver tumor segmentation using SVM framework and pathology characterization / Jiayin Zhou, Yanling Chi, Weimin Huang, Wei Xiong, Wenyu Chen, Jimin Liu and Sudhakar K. Venkatesh -- Benchmarking lymph node metastasis classification for gastric cancer staging / Su Zhang, Chao Li, Shuheng Zhang, Lifang Pang and Huan Zhang -- The use of knowledge in biomedical image analysis / Florence Cloppet -- Active shape model for contour detection of anatomical structure / Huiqi Li and Qing Nie.
  • 2014From: Springer
    Cimino, James J.; Shortliffe, Edward H.
    Biomedical Informatics: Computer Applications in Health Care and Biomedicine meets the growing demand of practitioners, researchers, educators, and students for a comprehensive introduction to key topics in the field and the underlying scientific issues that sit at the intersection of biomedical science, patient care, public health, and information technology (IT). This 4th edition reflects the remarkable changes in both computing and health care that continue to occur and the exploding interest in the role that IT must play in care coordination and the melding of genomics with innovations in clinical practice and treatment. New chapters have been introduced on the health information infrastructure, consumer health informatics, telemedicine, translational bioinformatics, clinical research informatics, and health IT policy, while the others have all undergone extensive revisions, in many cases with new authors. The organization and philosophy are unchanged, focusing on the science of information and knowledge management and the role of computers and communications in modern biomedical research, health, and health care. Emphasizing the conceptual basis of the field rather than technical details, it provides an introduction and extensive bibliography so that readers can comprehend, assess, and utilize biomedical informatics and health IT. The volume focuses on easy-to-understand examples, a guide to additional literature, chapter summaries, and a comprehensive glossary with concise definitions of recurring terms for self-study or classroom use.
  • 2012From: Springer Protocols
    edited by Luca Monticelli, Emppu Salonen.
    Ab Initio, density functional theory, and semi-empirical calculations / Mikael P. Johansson, Ville R.I. Kaila, and Dage Sundholm -- Ab Initio molecular dynamics / Kari Laasonen -- Introduction to QM/MM simulations / Gerrit Groenhof -- Computational enzymology / Alessio Lodola and Adrian J. Mulholland -- QM and QM/MM simulations of proteins / Thomas Steinbrecher and Marcus Elstner -- Classical molecular dynamics in a nutshell / Susanna Hug -- Enhanced sampling algorithms / Ayori Mitsutake, Yoshiharu Mori, and Yuko Okamoto -- Force fields for classical molecular dynamics / Luca Monticelli and D. Peter Tieleman -- Polarizable force fields / Hanne S. Antila and Emppu Salonen -- Electrostatics interactions in classical simulations / G. Andres Cisneros, Volodymyr Babin, and Celeste Sagui -- Introduction to best practices in free energy calculations / Michael R. Shirts and David L. Mobley -- Recipes for free energy calculations in biomolecular systems / Mahmoud Moradi [and others] -- Molecular docking methodologies / Andrea Bortolato [and others] -- Simulation studies of the mechanism of membrane transporters / Giray Enkavi [and others] -- Molecular dynamics simulations of lipid bilayers : simple recipe of how to do it / Hector Martinez-Seara and Tomasz Rog -- Simulations of lipid monolayers / Svetlana Baoukina and D. Peter Tieleman -- Simulating DNA by molecular dynamics : aims, methods, and validation / Nicolas Foloppe, Marc Gueroult, and Brigitte Hartmann -- Simulation of carbohydrates, from molecular docking to dynamics in water / Nicolas Sapay, Alessandra Nurisso, and Anne Imberty -- Systematic methods for structurally consistent coarse-grained models / W.G. Noid -- Martini coarse-grained force field / Xavier Periole and Siewert-Jan Marrink -- Multiscale molecular modeling / Matej Praprotnik and Luigi Delle Site -- Coarse-grained models for protein folding and aggregation / Philippe Derreumaux -- Elastic network models : theoretical and empirical foundations / Yves-Henri Sanejouand -- Introduction to dissipative particle dynamics / Zhong-Yuan Lu and Yong-Lei Wang -- Multiscale molecular dynamics simulations of membrane proteins / Syma Khalid and Peter J. Bond -- Vesicles and vesicle fusion : coarse-grained simulations / Julian C. Shillcock.
  • 2016From: ScienceDirect
    edited by Damien Coyle.
    Part I: User training. Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates / C. Jeunet, B. N?Kaoua, F. Lotte -- Part II: Non-invasive decoding of 3D hand and arm movements. From classic motor imagery to complex movement intention decoding: The noninvasive Graz-BCI approach / G.R. Müller-Putz, A. Schwarz, J. Pereira, P. Ofner -- 3D hand motion trajectory prediction from EEG mu and beta bandpower / A. Korik, R. Sosnik, N. Siddique, D. Coyle -- Multisession, noninvasive closed-loop neuroprosthetic control of grasping by upper limb amputees / H.A. Agashe, A.Y. Paek, J.L. Contreras-Vidal -- Part III: Patients studies and clinical applications. Brain?computer interfaces in the completely locked-in state and chronic stroke / U. Chaudhary, N. Birbaumer, A. Ramos-Murguialday -- Brain?machine interfaces for rehabilitation of poststroke hemiplegia / J. Ushiba, S.R. Soekadar -- Neural and cortical analysis of swallowing and detection of motor imagery of swallow for dysphagia rehabilitation?A review / H. Yang, K.K. Ang, C. Wang, K.S. Phua, C. Guan -- A cognitive brain?computer interface for patients with amyotrophic lateral sclerosis / M.R. Hohmann, T. Fomina, V. Jayaram, N. Widmann, C. Förster, J. Just, M. Synofzik, B. Schölkopf, L. Schöls, M. Grosse-Wentrup -- Brain?computer interfaces for patients with disorders of consciousness / R.M. Gibson, A.M. Owen, D. Cruse -- Part IV: Non-medical applications. A passive brain?computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks / P. Aricò, G. Borghini, G. Di Flumeri, A. Colosimo, S. Pozzi, F. Babiloni -- 3D graphics, virtual reality, and motion-onset visual evoked potentials in neurogaming / R. Beveridge, S. Wilson, D. Coyle -- Part V: BCI in practice and usability considerations. Interfacing brain with computer to improve communication and rehabilitation after brain damage / A. Riccio, F. Pichiorri, F. Schettini, J. Toppi, M. Risetti, R. Formisano, M. Molinari, L. Astolfi, F. Cincotti, D. Mattia -- BCI in practice / D.J. McFarland, T.M. Vaughan.
  • 2016From: Wiley
    edited by Maureen Clerc, Laurent Bougrain, Fabien Lotte.
    Anatomy of the nervous system -- Functional neuroimaging -- Cerebral electrogenesis -- Physiological markers for controlling active and reactive BCIs -- Neurophysiological markers for passive brain-computer interfaces -- Electroencephalography data preprocessing -- EEG feature extraction -- Analysis of extracellular recordings -- Statistical learning for BCIs -- Adaptive methods in machine learning -- Human learning for brain-computer interfaces -- Brain-computer interfaces for human-computer interaction -- Brain training with neurofeedback.
  • 2014From: Springer
    Gerd Grübler, Elisabeth Hildt, editors.
    This volume summarizes the ethical, social and cultural contexts of interfacing brains and computers. It is intended for the interdisciplinary community of BCI stakeholders. Insofar, engineers, neuroscientists, psychologists, physicians, care-givers and also users and their relatives are concerned. For about the last twenty years brain-computer-interfaces (BCIs) have been investigated with increasing intensity and have in principle shown their potential to be useful tools in diagnostics, rehabilitation and assistive technology. The central promise of BCI technology is enabling severely impaired people in mobility, grasping, communication, and entertainment. Successful applications are for instance communication devices enabling locked-in patients in staying in contact with their environment, or prostheses enabling paralysed people in reaching and grasping. In addition to this, it serves as an introduction to the whole field of BCI for any interested reader. -- Provided by publisher.
  • 2008From: Springer
    Gerard O'Regan.
  • 2006From: ProQuest Safari
    Jeff Cogswell, Christopher Diggins, Ryan Stephens, Jonathan Turkanis.
    Building C++ applications -- Code organization -- Numbers -- Strings and text -- Dates and times -- Managing data with containers -- Algorithms -- Classes -- Exceptions and safety -- Streams and files -- Science and mathematics -- Multithreading -- Internationalization -- XML -- Miscellaneous.
  • 2007From: ProQuest Safari
    Joseph Albahari and Ben Albahari.
  • 2006From: ProQuest Safari
    Jay Hilyard, Stephen Teilhet.
  • 2011From: CRCnetBASE
    Ding-Geng (Din) Chen, Karl E. Peace.
    "With examples based on the authors' 30 years of real-world experience in many areas of clinical drug development, this book provides a thorough presentation of clinical trial methodology. It presents detailed step-by-step illustrations on the implementation of the open-source software R. Case studies demonstrate how to select the appropriate clinical trial data. The authors introduce the corresponding biostatistical analysis methods, followed by the step-by-step data analysis using R. They also offer the R program for download, along with other essential data, on their website"--Provided by publisher.
  • 2011From: CRCnetBASE
    A.K. Soman.
    1. What are cloud services? -- 2. Benefits and drawbacks of cloud services -- 3. Cloud technologies -- 4. Cloud-based solutions for healthcare IT -- 5. HIPAA and HITECH : cloud perspective -- 6. Adopting cloud services -- 7. Interoperability -- 8. Cloud-based personal health records (PHR) -- 9. Case studies.
  • 2017From: ScienceDirect
    edited by Fran C. Blumberg, Patricia J. Brooks.
    Cognitive Development in Digital Contexts investigates the impact of screen media on key aspects of children and adolescents' cognitive development. Highlighting how screen media impact cognitive development, the book addresses a topic often neglected amid societal concerns about pathological media use and vulnerability to media effects, such as aggression, cyber-bullying and Internet addiction. It addresses children and adolescents' cognitive development involving their interactions with parents, early language development, imaginary play, attention, memory, and executive control, literacy and academic performance.
  • 2009From: CRCnetBASE
    Gabriel Valiente.
  • 2006From: ScienceDirect
    Erik T. Mueller.
  • 2013From: Springer
    Adam I. Levine, Samuel DeMaria Jr., Andrew D. Schwartz, Alan J. Sim, editors.
    Part I. Introduction to simulation -- Part II. Simulation modalities and technologies -- Part III. Simulation for healthcare disciplines -- Part IV. Professional development in simulation -- Part V. Program development in simulation -- Appendices -- Index.
  • Samuel Gross.
    In this thesis, I describe three main contributions I have made toward creating more accurate systems for the computational recognition of protein-coding genes. First, I present N-SCAN, a gene predictor based on a hidden Markov model that uses Bayesian networks to model multiple alignments. I also describe CONTRAST, a discriminative gene predictor based on a conditional random field and a set of support vector machines for recognizing coding region boundaries. Both N-SCAN and CONTRAST represented substantial improvements over the state-of-the-art at the time they were introduced. Additionally, I give an algorithm for training conditional random fields that maximizes an approximation to labelwise accuracy, as opposed to the usual maximum likelihood approach. This algorithm proved key to CONTRAST's success.
  • 2013From: Springer
    Rolf Haaker, Werner Konermann (editors).
    Computer-assisted surgery is a growing sub-discipline of orthopaedic surgery. This book offers a comprehensive presentation of scientific work and clinical experience including new technologies like individual templating in unicompartmental and total knee arthoplasty based on computer-assisted design technology. Computer-assisted surgery involves not only total knee and total hip arthroplasty, but also trauma, sports and revision surgery. In this edition we have added sections on 3D fluoroscopy-based spinal surgery as well as 3D fluoroscopy-based trauma surgery. Even in total hip surgery, navigation systems offer exciting new aspects, and the clinical benefit of navigation in total knee arthroplasties has now been demonstrated. We believe that this textbook will be of interest to those new to this specific field, while also providing an update for experienced users. An added benefit is the international character of this textbook, including experiences from Switzerland, Israel, the United States and the German-speaking countries.
  • 2016From: Springer
    edited by Lucas E. Ritacco, Federico E. Milano, Edmund Chao.
    Part 1. Preoperative Planning -- 1. Virtual Preoperative Planning -- 2. Computerized Tools: Allograft Selection -- 3. Computer Guided Navigation and Pre-Operative Planning for Arthroscopic Hip Surgery -- 4. Virtual Cranio-Maxillofacial Surgery Planning with Stereo Graphics and Haptics -- 5. Computational Image-guided Technologies in Cranio-maxillofacial Soft Tissue Planning and Simulation -- Part 2. Surgical Navigation -- 6. Introduction to Surgical Navigation -- 7. Bone Tumor Navigation in the Pelvis -- 8. Bone Tumor Navigation in Limbs -- 9. Direct navigation of surgical instrumentation -- 10. Navigation in Spinal Surgery -- 11. Local Tumor Ablation using Computer-Assisted Planning and Execution -- Part 3. Custom Implants -- 12. Patient-specific Instruments in Orthopaedics -- 13. Custom Implants -- 14. Patient's Specific Template for Spine Surgery -- Part 4. Robotics -- 15. The Use of ROBODOC in Total Hip and Knee Arthroplasty -- 16. A comparative study for touchless telerobotic surgery -- Part 5. Validation in computer-assisted surgical workflows -- 17. Accuracy and precision in computer-assisted methods in orthopaedic surgery.- 18. Spinal Loading System: A Novel Technique for Assessing Spinal Flexibility in Adolescent Idiopathic Scoliosis -- Part 6. Emerging Trends -- 19. Computer simulation surgery for deformity correction of the upper extremity -- 20. 3D projection-based navigation.
  • 2008From: Springer
    Seongil Lee, Hyunseung Choo, Sungdo Ha, In Chul Shin, editors.
  • 2012From: Springer
    Morris F. Collen.
  • pt. A-B, C, 2009, 2011.From: ScienceDirect
    pt. B, 2009From: ScienceDirect
    pt. C, 2011From: ScienceDirect
    edited by Michael L. Johnson, Ludwig Brand.
  • 2014From: WortdScientific
    editor, C H Chen.
    The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.
  • 2008From: Springer
    Klaus Miesenberger, Joachim Klaus, Wolfgang Zagler, Arthur Karshmer, editors.
  • 2006From: ProQuest Ebook Central
    edited by Hyeoun-Ae Park, Peter Murray, and Connie Delaney.
  • 2006From: Springer
    Mark E. Gerow.
  • 2008From: CRCnetBASE
    edited by Kenneth D. Lawrence, Stephan Kudyba, Ronald K. Klimberg.
    An approach to analyzing and modeling systems for real-time decisions / John C. Brocklebank ... [et al.] -- Ensemble strategies for neural network classifiers / Paul Mangiameli and David West -- Neural network classification with uneven misclassification costs and imbalanced group sizes / Jyhshyan Lan ... [et al.] -- Data cleansing with independent component analysis / Guangyin Zeng and Mark J. Embrechts -- A multiple criteria approach to creating good teams over time / Ronald K. Klimberg, Kevin J. Boyle, and Ira Yermish -- Data mining applications in higher education / Cali M. Davis ... [et al.] -- Data mining for market segmentation with market share data : a case study approach / Illya Mowerman and Scott J. Lloyd -- An enhancement of the pocket algorithm with ratchet for use in data mining applications / Louis W. Glorfeld and Doug White -- Identification and prediction of chronic conditions for health plan members using data mining techniques / Theodore L. Perry, Stephan Kudyba, and Kenneth D. Lawrence -- Monitoring and managing data and process quality using data mining : business process management for the purchasing and accounts payable processes / Daniel E. O'Leary -- Data mining for individual consumer models and personalized retail promotions / Rayid Ghani ... [et al.] -- Data mining : common definitions, applications, and misunderstandings / Richard D. Pollack -- Fuzzy sets in data mining and ordinal classification / David L. Olson, Helen Moshkovich, and Alexander Mechitov -- Developing an associative keyword space of the data mining literature through latent semantic analysis / Adrian Gardiner -- A classification model for a two-class (new product purchase) discrimination process using multiple-criteria linear programming / Kenneth D. Lawrence ... [et al.].
  • 2011From: CRCnetBASE
    Luís Torgo.
    "This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. Mirroring the do-it-yourself approach of the text, the supporting website provides data sets and R code" -- Provided by publisher.
  • 2017From: CRCnetBASE
    Luís Torgo.
    I. R and data mining -- II. Case studies.
  • 2011From: Springer
    Graham Williams.
    Part 1. Explorations -- Introduction -- Getting Started -- Working with Data -- Loading Data -- Exploring Data -- Interactive Graphics -- Transforming Data -- Part 2. Building Models -- Descriptive and Predictive Analytics -- Cluster Analysis -- Association Analysis -- Decision Trees -- Random Forests -- Boosting -- Support Vector Machines -- Part 3. Delivering Performance -- Model Performance Evaluation -- Deployment -- Part 4. Appendices -- Installing Rattle -- Sample Datasets.
  • 2011From: CRCnetBASE
    Stephen M. Tobin.
    1. DC servo systems defined -- 2. Anatomy of a continuous-time DC servo -- 3. DC motors in servo systems -- 4. Feedback control systems -- 5. Proportional control of a second-order DC servo -- 6. Compensation of a continuous-time DC servo -- 7. DC servo amplifiers and shaft encoders -- 8. Control of a position servo using a PIC microcontroller.
  • principal investigators, J.W. Bellville, G.F. Franklin.
    PrintStatus: Not Checked OutLane Catalog Record
  • Ruixiang Zhang.
    This dissertation describes the design, implementation, and experimentation of an autonomous free-climbing robot, Capuchin. The objective of our project is to create a multi-limbed robot capable of climbing vertical terrain autonomously using techniques similar to those used by human free climbers. When a "free" climber climbs a steep crag or an artificial climbing wall, she uses nothing else but her hands and feet to make contact with terrain features such as holes, cracks, ledges or protrusions. Unlike "aid" climbing, which uses special equipments, tools, or engineered features, free climbing only relies on friction at the contacts between the climber and the terrain. In order to make a multi-limbed robot climb in a similar way, four fundamental challenges must be addressed: robot design, sensing, motion planning and motion control. Our work focuses on robot design (including sensors) and motion control. However, our robot, Capuchin, is an integrated system including a simplified sensing system and a pre-existing motion planner running off-line. A good robot design can increase the inherent ability of the robot to climb complex terrain. It may also lead to better performance and make other issues easier, such as motion planning and control. A four-limb structure was chosen after consideration of the robot's capability and complexity. Simulation was used during the design process to optimize performance, in particular to maximize the workspace reachable by the end-effectors (fingers). Sensors have been selected to allow the robot to both acquire information about the terrain and control its motion. Each finger is equipped with a camera. Vision feedback allows the robot controller to accurately dock the finger on a terrain feature at a location computed by the planner. It also allows modifying a planned trajectory in real-time, when the terrain differs slightly from the model that had been used by the planner or when other small errors occur (for instance, if the robot slips slightly at a contact). Each finger is additionally equipped with a force sensor that gives the magnitude and orientation of the reaction force at a contact. The four force sensors are used by the robot controller to maintain the robot in quasi-static equilibrium, by adjusting the robot posture and the joint torques when needed, so that the reaction forces at the contact point continuously within their Coulomb friction cones. A two-stage motion planner previously developed by Bretl and Hauser for free-climbing and other multi-limbed robots navigating on challenging and irregular terrain is used in this work. This planner decomposes a climbing motion into a sequence of moves, each performed with a fixed set of robot-terrain contacts (this set is called a "stance"). The transition at the end of each move consists of either breaking a contact or making a new one. The planner first computes a sequence of stances. Next it computes a trajectory for the move to be performed at each stance. If it fails to find a move at one step, it considers another sequence of stances. The core part of our research has been the design of the motion controller. The main problem we had to solve is a multi-contact force control problem. One of our most important findings has been the following: for quasi-static climbing, it is not necessary, even not desirable, to continuously control the forces exerted by the robot at the contact points. Instead, it is preferable to continuously monitor these forces and perform joint torque adjustments only when some reaction forces get too close to the boundaries of the friction cones or to their maximal magnitude. This strategy was not obvious when we started our research. In fact, we first developed a motion controller that continuously adjusted joint torques to keep measured reaction forces as close as possible to the terrain normals at the contact points. But computing these adjustments is rather time consuming. Moreover, this approach leads the robot to perform delicate adjustments frequently. As a result, robot motion was neither as smooth, nor as reliable as we would have liked. Instead, our new approach, which we call "lazy" force control, leads to a faster servo rate and much smoother motion. Our experiments show that on average adjustments only amount for a small percentage (less than 10%) of the total time spent climbing. They also demonstrate that Capuchin can reliably climb vertical artificial climbing walls autonomously and can handle small errors in the terrain model used by the planner.
  • 2014From: Springer
    Ronald Gieschke, Daniel Serafin.
    The development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens?
  • 2009From: Springer
    Nancy B. Finn, William F. Bria.
  • Robert Wachter.
    PrintStatus: Not Checked OutLane Catalog Record
    For the past few decades, technology has been touted as the cure for all of healthcare's ills, yet medicine stubbornly resisted computerization-- until now. Thanks largely to billions of dollars in federal incentives, healthcare has finally gone digital. Wachter examines healthcare at the dawn of its computer age, and shows how technology is changing care at the bedside. He questions whether government intervention has been useful or destructive-- and does so with clarity, insight, humor, and compassion.
  • 2013From: Springer
    Luís Lanca, Augusto Silva.
  • Suchi Saria.
    The current unprecedented rate of digitization of longitudinal health data --- continuous device monitoring data, laboratory measurements, medication orders, treatment reports, reports of physician assessments --- allows visibility into patient health at increasing levels of detail. A clearer lens into this data could help improve decision making both for individual physicians on the front lines of care, and for policy makers setting national direction. However, this type of data is high-dimensional (an infant with no prior clinical history can have more than 1000 different measurements in the ICU), highly unstructured (the measurements occur irregularly, and different numbers and types of measurements are taken for different patients) and heterogeneous (from ultrasound assessments to lab tests to continuous monitor data). Furthermore, the data is often sparse, systematically not present, and the underlying system is non-stationary. Extracting the full value of the existing data requires novel approaches. In this thesis, we develop novel methods to show how longitudinal health data contained in Electronic Health Records (EHRs) can be harnessed for making novel clinical discoveries. For this, one requires access to patient outcome data --- which patient has which complications. We present a method for automated extraction of patient outcomes from EHR data; our method shows how natural languages cues from the physicians notes can be combined with clinical events that occur during a patient's length of stay in the hospital to extract significantly higher quality annotations than previous state-of-the-art systems. We develop novel methods for exploratory analysis and structure discovery in bedside monitor data. This data forms the bulk of the data collected on any patient yet, it is not utilized in any substantive way post collection. We present methods to discover recurring shape and dynamic signatures in this data. While we primarily focus on clinical time series, our methods also generalize to other continuous-valued time series data. Our analysis of the bedside monitor data led us to a novel use of this data for risk prediction in infants. Using features automatically extracted from physiologic signals collected in the first 3 hours of life, we develop Physiscore, a tool that predicts infants at risk for major complications downstream. Physiscore is both fully automated and significantly more accurate than the current standard of care. It can be used for resource optimization within a NICU, managing infant transport to a higher level of care and parental counseling. Overall, this thesis illustrates how the use of machine learning for analyzing these large scale digital patient data repositories can yield new clinical discoveries and potentially useful tools for improving patient care.
  • 2007From: Springer
    Werner Dubitzky, Assaf Schuster, Peter M.A. Sloot, Michael Schroeder, Mathilde Romberg (eds.).
  • 2011From: ProQuest Safari
    John K. Kruschke.
    This book's organization : read me first! -- Introduction : models we believe in -- What is this stuff called probability? -- Bayes' rule -- Inferring a binomial proportion via exact mathematical analysis -- Inferring a binomial proportion via grid approximation -- Inferring a binomial proportion via the Metropolis algorithm -- Inferring two binomial proportions via Gibbs sampling -- Bernoulli likelihood with hierarchical prior -- Hierarchical modeling and model comparison -- Null hypothesis significance testing -- Bayesian approaches to testing a point ("null") hypothesis -- Goals, power, and sample size -- Overview of the generalized linear model -- Metric predicted variable on a single group -- Metric predicted variable with one metric predictor -- Metric predicted variable with multiple metric predictors -- Metric predicted variable with one nominal predictor -- Metric predicted variable with multiple nominal predictors -- Dichotomous predicted variable -- Ordinal predicted variable -- Contingency table analysis -- Tools in the trunk.
  • 2008From: ProQuest Safari
    Joshua Bloch.
    Introduction -- Creating and destroying objects -- Methods common to all objects -- Classes and interfaces -- Generics -- Enums and annotations -- Methods -- General programming -- Exceptions -- Concurrency -- Serialization.
  • 2014From: CRCnetBASE
    edited by Dean F. Sittig, PhD.
    Part 1. Introduction -- part 2. Identifying and preventing EHR safety concerns -- part 3. EHR users and usability -- part 4. Clinical decision support -- part 5. Referrals -- part 6. Laboratory test result management -- part 7. Bar coded medication administration -- part 8. Computer-based provider order entry.
  • 2007From: Springer
    edited by M.Y. Kao.
  • 2003From: ScienceDirect
    editor-in-chief, Hossein Bidgoli.
  • 2013From: Wiley
    edited by Kirsty Forrest, Judy McKimm, Simon Edgar.
    Essential simulation in clinical education / Judy McKimm and Kirsty Forrest -- Medical simulation : the journey so far / Aidan Byrne -- The evidence what works, why and how? / Doris Ostergaard and Jacob Rosenberg -- Pedagogy in simulation-based training in health care / Peter Dieckmann and Charlotte Ringsted -- Assessment / Thomas Gale and Martin Roberts -- The roles of faculty and simulated patients in simulation / Bryn Baxendale, Frank Coffey, and Andrew Buttery -- Surgical technical skills / Rajesh Aggarwal and Amit Mishra -- The non-technical skills / Nikki Maran, Simon Edgar, and Alistair May -- Teamwork / Jennifer Weller -- Designing effective simulation activities / Joanne Barrott ... [et al.] -- Distributed simulation / Jessica Janice Tang ... [et al.] -- Providing effective simulation activities / Walter J Eppich, Lanty O'Connor, and Mark Adler -- Simulation in practice / edited by Jean Keri -- The future for simulation.
  • by Kevin Pho and Susan Gay.
    PrintStatus: Not Checked OutLane Catalog Record
  • 2007From: ProQuest Safari
    John Walkenbach.
    Getting Started with Excel -- Introducing Excel -- What's New in Excel 2007? -- Entering and Editing Worksheet Data -- Essential Worksheet Operations -- Working with Cells and Ranges -- Introducing tables -- Worksheet Formatting -- Understanding Excel's Files -- Using and Creating Templates -- Printing Your Work -- Working with Formulas and Functions -- Introducing Formulas and Functions -- Creating Formulas and Functions -- Creating Formulas That Manipulate Text -- Working with Dates and Times -- Creating Formulas That Count and Sum -- Creating Formulas That Look Up Values -- Creating Formulas for Financial Applications -- Introducing Array Formulas -- Performing Magic with Array Formulas -- Creating Charts and Graphics -- Getting Started Making Charts -- Learning Advanced Charting -- Visualizing Data Using Conditional Formatting -- Enhancing Your Work with Pictures and Drawings -- Using Advanced Excel Features -- Customizing the Quick Access Toolbar -- Using Custom Number Formats -- Using Data Validation -- Creating and Using Worksheet Outlines -- Linking and Consolidating Worksheets -- Excel and the Internet -- Sharing Data with Other Applications -- Using Excel in a Workgroup -- Protecting Your Work -- Making Your Worksheets Error-Free -- Analyzing Data with Excel -- Using Microsoft Query with External Database Files -- Introducing Pivot Tables -- Analyzing Data with Pivot Tables -- Performing Spreadsheet What-If Analysis -- Analyzing Data Using Goal Seek and Solver -- Analyzing Data with the Analysis Tookpak -- Programming Excel with VBA -- Introducing Visual Basic for Applications -- Creating Custom Worksheet Functions -- Creating UserForms -- Using UserForm Controls in a Worksheet -- Working with Excel Events -- VGA Examples -- Creating Custom Excel Add-Ins -- Worksheet Function Reference -- What's on the CD-ROM -- Additional Excel Resources -- Excel Shortcut Keys.
    Also available: Print – 2007
  • 2007From: ProQuest Safari
    David and Raina Hawley.
    Reducing workbook and worksheet frustration -- Hacking Excel's built-in features -- Naming hacks -- Hacking PivotTables -- Hacking formulas and functions -- Macro hacks -- Cross-application hacks.
  • 2011From: CRCnetBASE
    François Husson, Sébastien Lê, Jérôme Pagès.
    "An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading the discussion of the methods and lots of graphics to emphasize visualization. They present the concepts in the most intuitive way possible, keeping mathematical content to a minimum or relegating it to the appendices. The book includes examples that use real data from a range of scientific disciplines and implemented using an R package developed by the authors"-- Provided by publisher.
  • 2012From: Springer
    Anthony G. Gallagher, Gerald C. O'Sullivan.
    Agents of Change -- Simulations for Procedural Training -- Human Factors in Acquiring Medical Skill; Perception and Cognition -- Human Factors in Acquiring Medical Skills; Learning and Skill Acquisition in Surgery -- Metrics for the Measurement of Skill -- Metric-Based Simulation Training -- Validation of Metrics Coupled to Simulation Training -- Metric-Based Training to Proficiency: What Is It and How Is It Done? -- Didactic Education and Training for Improved Intraoperative Performance: e-Learning Comes of Age -- Simulation Training for Improved Procedural Performance -- Simulation In and For Medicine: Where Next? -- Proficiency-Based Progression Simulation Training: A To-Do List for Medicine.
  • 2007From: Springer
    Rudolf Seising.
  • 2008From: Springer
    Michael O'Neill, Leonardo Vanneschi, Steven Gustafson, Anna Isabel Esparcia Alcazar, Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino, editors.
  • 2009From: Springer
    Hadley Wickham.
    Describes ggplot2, a data visualization package for R and a powerful and flexible system for creating data graphics.
  • Jerri Ledford and Mary E. Tyler.
    PrintStatus: Not Checked OutLane Catalog Record
  • 2006From: ProQuest Ebook Central
    Brian R. Hunt, Ronald L. Lipsman, Jonathan M. Rosenberg, with Kevin R. Coombes, John E. Osborn, and Garrett J. Stuck.
    Also available: Print – 2006
  • 2007From: CRCnetBASE
    Andy H. Register.
  • 2016From: Springer
    Nils Lindefors, Gerhard Andersson, editors.
    Introduction (including definitions and history) -- Depression -- Panic disorder and agoraphobia -- Social anxiety disorder -- Specific phobia -- Generalised anxiety disorder -- Obsessive-compulsive disorder -- PTSD -- Insomnia -- Health anxiety (Illness anxiety disorder) -- Eating disorders- Substance abuse -- Pathological gambling -- ICBT with children and adolescents -- ICBT with older people -- Future directions and new technologies.
  • 2007From: CRCnetBASE
    edited by Teofilo F. Gonzalez.
  • 2001From: ScienceDirect
    editors, Alan Robinson and Andrei Voronkov.
  • 1997From: CRCnetBASE
    editors in chief, Emile Fiesler and Russell Beale.
  • 2013From: CRCnetBASE
    Arthur Li.
  • 2010From: CRCnetBASE
    Brian S. Everitt and Torsten Hothorn.
    An introduction to R -- Data analysis using graphical displays -- Simple inference -- Conditional inference -- Analysis of variance -- Simple and multiple linear regression -- Logistic repression and generalised linear models -- Density estimation -- Recursive partitioning -- Smoothers and generalised additive models -- Survival analysis -- Analysing longitudinal data I -- Analysing longitudinal data II -- Simultaneous inference and multiple comparisons -- Meta-analysis -- Principal component analysis -- Multidimensional scaling -- Cluster analysis.
  • 2006Click LINK above for Print location/circulation status.
    2006From: CRCnetBASE
    Robert Ho.
  • 2005From: Springer
    Scott M. Strayer, Peter L. Reynolds, Mark H. Ebell, editors.
    Also available: Print – 2005
  • 2008From: Springer
    Manuel Ferre (ed.).
  • 2008From: ProQuest Safari
    by Baron Schwartz ... [et al.].
    Also available: Print – 2008
  • 2012From: ProQuest Safari
    Baron Schwartz, Peter Zaitsev, Vadim Tkachenko.
    MySQL architecture and history -- Benchmarking MySQL -- Profiling server performance -- Optimizing schema and data types -- Indexing for high performance -- Query performance optimization -- Advanced MySQL features -- Optimizing server settings -- Operating system and hardware optimization -- Replication -- Scaling MySQL -- High availability -- MySQL in the cloud -- Application-level optimization -- Backup and recovery -- Tools for MySQL users -- Forks and variants of MySQL -- MySQL server status -- Transferring large files -- Using EXPLAIN -- Debugging locks -- Using Sphinx with MySQL.
  • 2017From: CRCnetBASE
    John Trinckes, Jr.
  • 2008From: CRCnetBASE
    edited by Andrew Sears and Julie A. Jacko.
    pt. 1. Humans in HCI -- pt. 2. Computers in HCI -- pt. 3. Designing human-computer interactions -- pt. 4. Application/domain specific design -- pt. 5. Designing for diversity -- pt. 6. The development process.
  • 2014From: CRCnetBASE
    edited by E.Y.K. Ng, U. Rajendra Acharya, Aurélio Campilho, Jasjit S. Suri.
    "The human eye is a complex and important organ that works similarly to the conventional camera. Many advanced image-processing algorithms have been proposed to analyze the subtle changes in the eye to diagnose eye abnormalities efficiently. Digital fundus images have been used efficiently for the diagnosis of diabetes retinopathy and glaucoma. Infrared imaging provides a temperature profile that depicts changes in the vascular tissues, which helps to study the ocular surface temperature (OST) and ocular diseases like dry eye and cataracts. This book covers the detection of diabetes retinopathy, glaucoma, and anterior segment eye abnormalities; instruments for the detection of glaucoma; and the development of a human eye model using computational fluid dynamics and heat transfer principles to predict inner temperatures of the eye from its surface temperature. Ultrasound biomicroscopy (UBM) is one of the imaging systems that allow visualization of the anatomy and pathology of the anterior segment. It is particularly beneficial in evaluating regions of the eye behind the iris such as the ciliary body, lens zonular attachment, and lens periphery, which are obscured in other anterior scanning systems. In glaucoma imaging, UBM plays a significant role in objective assessment of peripheral anterior chamber angle morphology, which is useful in angle closure glaucoma diagnosis and management. Chapter 1 presents a UBM system for anterior chamber angle imaging. Chapter 2 describes both the formal design and development of an automated anterior segment eye disease classification system. The proposed system can be used for early disease diagnosis and treatment management"-- Provided by publisher.
  • Ilias G. Maglogiannis, Kostas Karpouzis, Manolis Wallace.
    E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview of the fields of image and signal processing for networked and distributed e-health applications and their supporting technologies. The book is structured in 10 chapters, starting the discussion from the lower end, that of acquisition and processing of biosignals and medical images and ending in complex virtual reality systems and techniques providing more intuitive interaction in a networked medical environment. The book also discusses networked clinical decision support systems and corresponding medical standards, WWW-based applications, medical collaborative platforms, wireless networking, and the concepts of ambient intelligence and pervasive computing in electronic healthcare systems.
  • 2008From: CRCnetBASE
    Azad Adam.
  • Executive Office of the President, President's Council of Advisors on Science and Technology.
  • 2008From: Springer
    edited by Maristella Agosti.
  • 2007From: Springer
    Teddy Furon, Francois Cayre, Gwenael Doerr, Patrick Bas, editors.
  • 2008From: Springer
    Andreas Kerren ... (ed.).

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Derived from Current Medical Diagnosis & Treatment, AccessMedicine's Quick Medical Diagnosis & Treatment provides topic reviews with key diagnostic and treatment features for more than 500 diseases.

A repository of medical knowledge from internal medicine, cardiology, genetics, pharmacy, diagnosis and management, basic sciences, patient care, and more.

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MicroMedex: Premier pharmaceutical information source containing multiple databases and drug reference tools. Of particular value is DRUGDEX Evaluations, one of the most comprehensive drug sources available.DynaMed Plus is a clinical information resource used to answer questions quickly at the point-of-care. Easy-to-interpret Levels of Evidence help clinicians rapidly determine the quality of the available evidence.

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