Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Biomedical Informatics
Download Biomedical Informatics full books in PDF, epub, and Kindle. Read online Biomedical Informatics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author :Edward H. Shortliffe Publisher :Springer Science & Business Media ISBN 13 :0387362789 Total Pages :1060 pages Book Rating :4.3/5 (873 download)
Book Synopsis Biomedical Informatics by : Edward H. Shortliffe
Download or read book Biomedical Informatics written by Edward H. Shortliffe and published by Springer Science & Business Media. This book was released on 2006-12-02 with total page 1060 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the role of computers in the provision of medical services. It provides both a conceptual framework and a practical approach for the implementation and management of IT used to improve the delivery of health care. Inspired by a Stanford University training program, it fills the need for a high quality text in computers and medicine. It meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Completely revised and expanded, this work includes several new chapters filled with brand new material.
Book Synopsis Biomedical Informatics by : Edward H. Shortliffe
Download or read book Biomedical Informatics written by Edward H. Shortliffe and published by Springer Science & Business Media. This book was released on 2013-12-02 with total page 970 pages. Available in PDF, EPUB and Kindle. Book excerpt: The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its third edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computers can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and then to illustrate them with specific systems and technologies.
Book Synopsis Evaluation Methods in Medical Informatics by : Charles P. Friedman
Download or read book Evaluation Methods in Medical Informatics written by Charles P. Friedman and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: As director of a training program in medical informatics, I have found that one of the most frequent inquiries from graduate students is, "Although I am happy with my research focus and the work I have done, how can I design and carry out a practical evaluation that proves the value of my contribution?" Informatics is a multifaceted, interdisciplinary field with research that ranges from theoretical developments to projects that are highly applied and intended for near-term use in clinical settings. The implications of "proving" a research claim accordingly vary greatly depending on the details of an individual student's goals and thesis state ment. Furthermore, the dissertation work leading up to an evaluation plan is often so time-consuming and arduous that attempting the "perfect" evaluation is fre quently seen as impractical or as diverting students from central programming or implementation issues that are their primary areas of interest. They often ask what compromises are possible so they can provide persuasive data in support of their claims without adding another two to three years to their graduate student life. Our students clearly needed help in dealing more effectively with such dilem mas, and it was therefore fortuitous when, in the autumn of 1991, we welcomed two superb visiting professors to our laboratories.
Book Synopsis Principles of Biomedical Informatics by : Ira J. Kalet
Download or read book Principles of Biomedical Informatics written by Ira J. Kalet and published by Academic Press. This book was released on 2013-09-26 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. - Develops principles and methods for representing biomedical data, using information in context and in decision making, and accessing information to assist the medical community in using data to its full potential - Provides a series of principles for expressing biomedical data and ideas in a computable form to integrate biological, clinical, and public health applications - Includes a discussion of user interfaces, interactive graphics, and knowledge resources and reference material on programming languages to provide medical informatics programmers with the technical tools to develop systems
Book Synopsis I'm A Biomedical Informatics Expert Now! by : Kevin B Johnson
Download or read book I'm A Biomedical Informatics Expert Now! written by Kevin B Johnson and published by World Scientific. This book was released on 2021-07-29 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is a biomedical informatics expert? What does he or she do?Meet Kevin, a kid like you and me, who grew up to become a biomedical informatics expert! Kevin grew up loving science and caring for animals, and this passion, combined with his engineering aptitude, turned him into a pediatrician specializing in biomedical informatics — using computers and data science to improve health care.The Who Me? series features inspirational biographies of scientists who young readers will be able to identify with as people like themselves. Written by the scientists themselves and co-authors from Vanderbilt University, the books are designed to help young readers understand that scientists are regular people like themselves who are excited about learning and discovering new things and who decided to work hard in school in order to create for themselves the opportunity to become scientists. As they learn the stories of these scientists, readers will also learn some basic science ideas, that are well-explained and easily understood, and be introduced to the cutting-edge science these scientists are working on today.
Book Synopsis Methods in Biomedical Informatics by : Indra Neil Sarkar
Download or read book Methods in Biomedical Informatics written by Indra Neil Sarkar and published by Academic Press. This book was released on 2013-09-03 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning with a survey of fundamental concepts associated with data integration, knowledge representation, and hypothesis generation from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and public health contexts. These concepts provide the foundation for more advanced topics like information retrieval, natural language processing, Bayesian modeling, and learning classifier systems. The survey of topics then concludes with an exposition of essential methods associated with engineering, personalized medicine, and linking of genomic and clinical data. Within an overall context of the scientific method, Methods in Biomedical Informatics provides a practical coverage of topics that is specifically designed for: (1) domain experts seeking an understanding of biomedical informatics approaches for addressing specific methodological needs; or (2) biomedical informaticians seeking an approachable overview of methodologies that can be used in scenarios germane to biomedical research. - Contributors represent leading biomedical informatics experts: individuals who have demonstrated effective use of biomedical informatics methodologies in the real-world, high-quality biomedical applications - Material is presented as a balance between foundational coverage of core topics in biomedical informatics with practical "in-the-trenches" scenarios. - Contains appendices that function as primers on: (1) Unix; (2) Ruby; (3) Databases; and (4) Web Services.
Book Synopsis Translational Biomedical Informatics by : Bairong Shen
Download or read book Translational Biomedical Informatics written by Bairong Shen and published by Springer. This book was released on 2016-10-31 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to essential methods and applications in translational biomedical informatics, which include biomedical big data, cloud computing and algorithms for understanding omics data, imaging data, electronic health records and public health data. The storage, retrieval, mining and knowledge discovery of biomedical big data will be among the key challenges for future translational research. The paradigm for precision medicine and healthcare needs to integratively analyze not only the data at the same level – e.g. different omics data at the molecular level – but also data from different levels – the molecular, cellular, tissue, clinical and public health level. This book discusses the following major aspects: the structure of cross-level data; clinical patient information and its shareability; and standardization and privacy. It offers a valuable guide for all biologists, biomedical informaticians and clinicians with an interest in Precision Medicine Informatics.
Book Synopsis Deep Learning Techniques for Biomedical and Health Informatics by : Basant Agarwal
Download or read book Deep Learning Techniques for Biomedical and Health Informatics written by Basant Agarwal and published by Academic Press. This book was released on 2020-01-14 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic Health Records, and medical image processing. - Examines a wide range of Deep Learning applications for Biomedical Engineering and Health Informatics, including Deep Learning for drug discovery, clinical decision support systems, disease diagnosis, prediction and monitoring - Discusses Deep Learning applied to Electronic Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to improve clinical decision-making - Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis
Book Synopsis Biomedical Informatics by : Jules J. Berman
Download or read book Biomedical Informatics written by Jules J. Berman and published by Jones & Bartlett Publishers. This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ideal for healthcare workers, students and biomedical researchers who wish to use informatics technologies in their own clinics and laboratories, Biomedical Informatics describes the fundamental issues and questions in the field and reviews the different types of biomedical data resources and open source tools needed to fully utilize biomedical data. You are shown how to navigate through the legal, ethical, and technical hazards of biomedical informatics to become self-sufficient and productive. You will finish with an understanding of how to acquire, organize, annotate, and share biomedical data, how to render confidential data harmless through de-identification, and how to use a variety of free and open source utilities to solve common computational tasks. Berman also discusses how the Perl Language is used in biomedical informatics and provides short Perl scripts that can be applied in the biological research and healthcare settings.
Book Synopsis Biomedical Informatics by : David J. Lubliner
Download or read book Biomedical Informatics written by David J. Lubliner and published by CRC Press. This book was released on 2015-11-04 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This complete medical informatics textbook begins by reviewing the IT aspects of informatics, including systems architecture, electronic health records, interoperability, privacy and security, cloud computing, mobile healthcare, imaging, capturing data, and design issues. Next, it provides case studies that illustrate the roll out of EHRs in hospitals. The third section incorporates four anatomy and physiology lectures that focus on the physiological basis behind data captured in EHR medical records. The book includes links to documents and standards sources so students can explore each idea discussed in more detail.
Book Synopsis Computational Intelligence and Healthcare Informatics by : Om Prakash Jena
Download or read book Computational Intelligence and Healthcare Informatics written by Om Prakash Jena and published by John Wiley & Sons. This book was released on 2021-10-19 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.
Book Synopsis Predictive Intelligence in Biomedical and Health Informatics by : Rajshree Srivastava
Download or read book Predictive Intelligence in Biomedical and Health Informatics written by Rajshree Srivastava and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-10-12 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.
Book Synopsis R for Medicine and Biology by : Paul D. Lewis
Download or read book R for Medicine and Biology written by Paul D. Lewis and published by Jones & Bartlett Learning. This book was released on 2009-05-08 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is quickly becoming the number one choice for users in the fields of biology, medicine, and bioinformatics as their main means of storing, processing, sharing, and analyzing biomedical data. R for Medicine and Biology is a step-by-step guide through the use of the statistical environment R, as used in a biomedical domain. Ideal for healthcare professionals, scientists, informaticists, and statistical experts, this resource will provide even the novice programmer with the tools necessary to process and analyze their data using the R environment. Introductory chapters guide readers in how to obtain, install, and become familiar with R and provide a clear introduction to the programming language using numerous worked examples. Later chapters outline how R can be used, not just for biomedical data analysis, but also as an environment for the processing, storing, reporting, and sharing of data and results. The remainder of the book explores areas of R application to common domains of biomedical informatics, including imaging, statistical analysis, data mining/modeling, pathology informatics, epidemiology, clinical trials, and metadata usage. R for Medicine and Biology will provide you with a single desk reference for the R environment and its many capabilities.
Book Synopsis Python for Bioinformatics by : Jason Kinser
Download or read book Python for Bioinformatics written by Jason Kinser and published by Jones & Bartlett Publishers. This book was released on 2010-10-25 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Bioinformatics provides a clear introduction to the Python programming language and instructs beginners on the development of simple programming exercises. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.
Book Synopsis Principles of Biomedical Informatics by : Ira J. Kalet
Download or read book Principles of Biomedical Informatics written by Ira J. Kalet and published by Academic Press. This book was released on 2008-10-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Biomedial Informatics provides a foundation for understanding the fundamentals of biomedical informatics, which deals with the storage, retrieval, and use of biomedical data for biological problem solving and medical decision making. It covers the application of these principles to the three main biomedical domains of basic biology, clinical medicine, and public health. The author offers a coherent summary, focusing on the three core concept areas of biomedical data and knowledge representation: biomedical information access, biomedical decision making, and information and technology use in biomedical contexts. Develops principles and methods for representing biomedical data, using information in context and in decision making, and accessing information to assist the medical community in using data to its full potential Provides a series of principles for expressing biomedical data and ideas in a computable form to integrate biological, clinical, and public health applications Includes a discussion of user interfaces, interactive graphics, and knowledge resources and reference material on programming languages to provide medical informatics programmers with the technical tools to develop systems
Book Synopsis Information Retrieval by : William Hersh
Download or read book Information Retrieval written by William Hersh and published by Springer Science & Business Media. This book was released on 2006-05-04 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Coupled with the growth of the World Wide Web, the topic of health information retrieval has had a tremendous impact on consumer health information. With the aid of newly added questions and discussions at the end of each chapter, this Second Edition covers theory practical applications, evaluation, and research directions of all aspects of medical information retireval systems.
Book Synopsis Cognitive Informatics by : Kai Zheng
Download or read book Cognitive Informatics written by Kai Zheng and published by Springer. This book was released on 2019-07-25 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely book addresses gaps in the understanding of how health information technology (IT) impacts on clinical workflows and how the effective implementation of these workflows are central to the safe and effective delivery of care to patients. It features clearly structured chapters covering a range of topics, including aspects of clinical workflows relevant to both practitioners and patients, tools for recording clinical workflow data techniques for potentially redesigning health IT enabled care coordination. Cognitive Informatics: Reengineering Clinical Workflow for More Efficient and Safer Care enables readers to develop a deeper understanding of clinical workflows and how these can potentially be modified to facilitate greater efficiency and safety in care provision, providing a valuable resource for both biomedical and health informatics professionals and trainees.
