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Methods in Biomedical Informatics

Methods in Biomedical Informatics
A Pragmatic Approach

by Indra Neil Sarkar

  • Publisher : Academic Press
  • Release : 2013-09-03
  • Pages : 592
  • ISBN : 0124016847
  • Language : En, Es, Fr & De
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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.

Evaluation Methods in Biomedical Informatics

Evaluation Methods in Biomedical Informatics
A Book

by Charles P. Friedman,Jeremy Wyatt

  • Publisher : Springer Science & Business Media
  • Release : 2006-01-05
  • Pages : 386
  • ISBN : 0387306773
  • Language : En, Es, Fr & De
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Heavily updated and revised from the successful first edition Appeals to a wide range of informatics professionals, from students to on-site medical information system administrators Includes case studies and real world system evaluations References and self-tests for feedback and motivation after each chapter Great for teaching purposes, the book is recommended for courses offered at universities such as Columbia University Precise definition and use of terms

Methods in Medical Informatics

Methods in Medical Informatics
Fundamentals of Healthcare Programming in Perl, Python, and Ruby

by Jules J. Berman

  • Publisher : CRC Press
  • Release : 2010-09-22
  • Pages : 413
  • ISBN : 9781439841846
  • Language : En, Es, Fr & De
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Too often, healthcare workers are led to believe that medical informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully utilize the medical information contained in clini

Methods, Models, and Computation for Medical Informatics

Methods, Models, and Computation for Medical Informatics
A Book

by Gangopadhyay, Aryya

  • Publisher : IGI Global
  • Release : 2012-12-31
  • Pages : 345
  • ISBN : 1466626844
  • Language : En, Es, Fr & De
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Regular developments in technology continue to influence the medical and healthcare fields as they interact with information and computer sciences by methods of acquisition and the storage and retrieval of information. Methods, Models, and Computation for Medical Informatics is a comprehensive collection of research on computational capabilities, prototypes, and algorithms, as well as application in the areas of nursing, clinical care, public health, biomedical research, and much more. This book provides a better understanding of the models and methods used in the field of medicine for researchers, practitioners, and medical professionals alike.

Biomedical Informatics

Biomedical Informatics
Computer Applications in Health Care and Biomedicine

by Edward H. Shortliffe,James J. Cimino

  • Publisher : Springer Science & Business Media
  • Release : 2006-12-02
  • Pages : 1038
  • ISBN : 9780387362786
  • Language : En, Es, Fr & De
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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.

Evaluation Methods in Medical Informatics

Evaluation Methods in Medical Informatics
A Book

by Charles P. Friedman,Jeremy C. Wyatt

  • Publisher : Springer Science & Business Media
  • Release : 2013-03-14
  • Pages : 311
  • ISBN : 1475726856
  • Language : En, Es, Fr & De
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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.

Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics
A Book

by Dr. Basant Agarwal,Valentina E. Balas,Lakhmi C. Jain,Ramesh Chandra Poonia,Manisha Sharma

  • Publisher : Academic Press
  • Release : 2020-01-14
  • Pages : 367
  • ISBN : 0128190620
  • Language : En, Es, Fr & De
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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

Health Informatics Data Analysis

Health Informatics Data Analysis
Methods and Examples

by Dong Xu,May D. Wang,Fengfeng Zhou,Yunpeng Cai

  • Publisher : Springer
  • Release : 2017-09-08
  • Pages : 210
  • ISBN : 3319449818
  • Language : En, Es, Fr & De
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This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection. With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales, dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers. This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries.

Evidence-Based Health Informatics

Evidence-Based Health Informatics
Promoting Safety and Efficiency Through Scientific Methods and Ethical Policy

by E. Ammenwerth,M. Rigby

  • Publisher : IOS Press
  • Release : 2016-05-20
  • Pages : 388
  • ISBN : 1614996350
  • Language : En, Es, Fr & De
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Health IT is a major field of investment in support of healthcare delivery, but patients and professionals tend to have systems imposed upon them by organizational policy or as a result of even higher policy decision. And, while many health IT systems are efficient and welcomed by their users, and are essential to modern healthcare, this is not the case for all. Unfortunately, some systems cause user frustration and result in inefficiency in use, and a few are known to have inconvenienced patients or even caused harm, including the occasional death. This book seeks to answer the need for better understanding of the importance of robust evidence to support health IT and to optimize investment in it; to give insight into health IT evidence and evaluation as its primary source; and to promote health informatics as an underpinning science demonstrating the same ethical rigour and proof of net benefit as is expected of other applied health technologies. The book is divided into three parts: the context and importance of evidence-based health informatics; methodological considerations of health IT evaluation as the source of evidence; and ensuring the relevance and application of evidence. A number of cross cutting themes emerge in each of these sections. This book seeks to inform the reader on the wide range of knowledge available, and the appropriateness of its use according to the circumstances. It is aimed at a wide readership and will be of interest to health policymakers, clinicians, health informaticians, the academic health informatics community, members of patient and policy organisations, and members of the vendor industry.

Predictive Intelligence in Biomedical and Health Informatics

Predictive Intelligence in Biomedical and Health Informatics
A Book

by Rajshree Srivastava,Nhu Gia Nguyen,Ashish Khanna,Siddhartha Bhattacharyya

  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2020-10-12
  • Pages : 180
  • ISBN : 3110676125
  • Language : En, Es, Fr & De
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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.

Principles of Biomedical Informatics

Principles of Biomedical Informatics
A Book

by Ira J. Kalet, PhD

  • Publisher : Academic Press
  • Release : 2008-10-20
  • Pages : 504
  • ISBN : 9780080557946
  • Language : En, Es, Fr & De
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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

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
State-of-the-Art and Future Challenges

by Andreas Holzinger,Igor Jurisica

  • Publisher : Springer
  • Release : 2014-06-17
  • Pages : 357
  • ISBN : 3662439689
  • Language : En, Es, Fr & De
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One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.

dHealth 2020 – Biomedical Informatics for Health and Care

dHealth 2020 – Biomedical Informatics for Health and Care
Proceedings of the 14th Health Informatics Meets Digital Health Conference

by G. Schreier,D. Hayn,A. Eggerth

  • Publisher : IOS Press
  • Release : 2020-06-24
  • Pages : 292
  • ISBN : 1643680854
  • Language : En, Es, Fr & De
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Successful digital healthcare depends on the effective flow of a complete chain of information; from the sensor, via multiple steps of processing, to the actuator, which can be anything from a human healthcare professional to a robot. Along this pathway, methods for automating the processing of information, like signal processing, machine learning, predictive analytics and decision support, play an increasing role in providing actionable information and supporting personalized and preventive healthcare concepts in both biomedical and digital healthcare systems and applications. ICT systems in healthcare and biomedical systems and devices are very closely related, and in the future they will become increasingly intertwined. Indeed, it is already often difficult to delineate where the one ends and the other begins. This book presents the intended proceedings of the dHealth 2020 annual conference on the general topic of health Informatics and digital health, which was due to be held in Vienna, Austria, on 19 and 20 May 2020, but which was cancelled due to the COVID-19 pandemic. The decision was nevertheless taken to publish these proceedings, which include the 40 papers which would have been delivered at the conference. The special topic for the 2020 edition of the conference was Biomedical Informatics for Health and Care. The book provides an overview of current developments in health informatics and digital health, and will be of interest to researchers and healthcare practitioners alike.

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine
A Book

by Qing Yan

  • Publisher : Academic Press
  • Release : 2017-04-18
  • Pages : 182
  • ISBN : 0128043881
  • Language : En, Es, Fr & De
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Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine. Through the description of important cutting-edge technologies in bioinformatics and systems biology, readers may gain an essential understanding of state-of-the-art methodologies. The book discusses topics such as the challenges and tasks in translational bioinformatics; pharmacogenomics, systems biology, and personalized medicine; and the applicability of translational bioinformatics for biomarker discovery, epigenomics, and molecular dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and clinical applications, this book is suitable for a wide range of readers who may not be scientists but who are also interested in the practice of personalized medicine. Introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine Presents a problem-solving oriented methodology to deal with practical problems in various applications Covers both basic scientific and clinical applications in order to enhance the collaboration between researchers and clinicians Brings integrative and multidisciplinary approaches to bridge the gaps among various knowledge domains in the field

Optimization and Data Analysis in Biomedical Informatics

Optimization and Data Analysis in Biomedical Informatics
A Book

by Panos M. Pardalos,Thomas F. Coleman,Petros Xanthopoulos

  • Publisher : Springer Science & Business Media
  • Release : 2012-08-15
  • Pages : 200
  • ISBN : 1461441331
  • Language : En, Es, Fr & De
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​This volume covers some of the topics that are related to the rapidly growing field of biomedical informatics. In June 11-12, 2010 a workshop entitled ‘Optimization and Data Analysis in Biomedical Informatics’ was organized at The Fields Institute. Following this event invited contributions were gathered based on the talks presented at the workshop, and additional invited chapters were chosen from world’s leading experts. In this publication, the authors share their expertise in the form of state-of-the-art research and review chapters, bringing together researchers from different disciplines and emphasizing the value of mathematical methods in the areas of clinical sciences. This work is targeted to applied mathematicians, computer scientists, industrial engineers, and clinical scientists who are interested in exploring emerging and fascinating interdisciplinary topics of research. It is designed to further stimulate and enhance fruitful collaborations between scientists from different disciplines.​

Computational Intelligence in Medical Informatics

Computational Intelligence in Medical Informatics
A Book

by Arpad Kelemen,Ajith Abraham,Yulan Liang

  • Publisher : Springer Science & Business Media
  • Release : 2008-01-03
  • Pages : 379
  • ISBN : 354075766X
  • Language : En, Es, Fr & De
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Medical Informatics (MI) is an emerging interdisciplinary science. This book deals with the application of computational intelligence in MI. Addressing the various issues of medical informatics using different computational intelligence approaches is the novelty of this edited volume. This volume comprises of 15 chapters selected on the basis of fundamental ideas/concepts including an introductory chapter giving the fundamental definitions and some important research challenges.

Biocomputation and Biomedical Informatics: Case Studies and Applications

Biocomputation and Biomedical Informatics: Case Studies and Applications
Case Studies and Applications

by Lazakidou, Athina A.

  • Publisher : IGI Global
  • Release : 2009-11-30
  • Pages : 356
  • ISBN : 1605667692
  • Language : En, Es, Fr & De
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"This book provides a compendium of terms, definitions, and explanations of concepts, processes, and acronyms"--Provided by publisher.

Data Mining in Biomedical Imaging, Signaling, and Systems

Data Mining in Biomedical Imaging, Signaling, and Systems
A Book

by Sumeet Dua,Rajendra Acharya U

  • Publisher : CRC Press
  • Release : 2016-04-19
  • Pages : 440
  • ISBN : 1439839395
  • Language : En, Es, Fr & De
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Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to extract hidden features from patient groups and disease states and can aid in automated decision making. Data Mining in Biomedical Imaging, Signaling, and Systems provides an in-depth examination of the biomedi

Handbook of Research on Distributed Medical Informatics and E-Health

Handbook of Research on Distributed Medical Informatics and E-Health
A Book

by Lazakidou, Athina A.,Siassiakos, Konstantinos M.

  • Publisher : IGI Global
  • Release : 2008-08-31
  • Pages : 600
  • ISBN : 1605660035
  • Language : En, Es, Fr & De
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Provides coverage of specific topics and issues in healthcare, highlighting recent trends and describing the latest advances in the field.

Medical Informatics

Medical Informatics
Computer Applications in Health Care and Biomedicine

by Edward Hance Shortliffe,Leslie E. Perreault

  • Publisher : Springer Verlag
  • Release : 2001
  • Pages : 854
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Inspired by a Stamford University training program developed to introduce health professional to computer applications in medical care, "Medical Informatics" provides practitioners, researchers and students with a comprehensive introduction to key topics in computers and medicine.