Introduction to Computational Health Informatics: 1st Edition (Paperback) book cover

Introduction to Computational Health Informatics

1st Edition

By Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam

Chapman and Hall/CRC

536 pages | 219 B/W Illus.

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pub: 2019-12-20
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Description

This class-tested textbook is designed for a semester-long graduate, or senior undergraduate course on Computational Health Informatics. Integrating a computer science perspective with a clinical perspective, the book is designed to prepare computer science students for careers in computational health informatics and medical data analysis. The focus of the book is on clinical issues that require computational analysis, informatics, or automation. It also teaches various artificial intelligence techniques, statistical techniques, and computational techniques that are widely used in health data analysis and health informatics.

Table of Contents

Introduction. Introduction to Informatics. Model and Informatics. Medical Informatics. Motivation. Components of Health Informatics. Integrating Health Records. Transmission of Health Records. Summary. Assessment. Background and Fundamental Concepts. Foundations of Computational Techniques. Databases. AI Techniques. Physiology. Internet Based Transmission. Multimedia and Compression. Summary. Assessment. Electronic Health Records. Introduction to Medical Databases. Differing Views of EMR. Master Patient Index. Virtual Medical Record. Retrieving Patient Information. HIPPA. Privacy and Security in Health Information. Transmitting Patient Information. Health Information Exchange. EHR and Care Coordination. Summary. Assessment. Intelligent Techniques. Machine Learning. Hidden Markov Models. Regression Analysis. Ontology and Interoperability. Natural Language Understanding. Intelligent Text Extraction. Summary. Assessment. Medical Signal Analysis. Electrocardiograph Analysis. Heart Diseases and ECG. EEG and MEG Analysis. EMG Analysis. Summary. Assessment. Medical Imaging. Role of Medical Images in Health Informatics. Acquisition of Medical Images. Image Analysis. Medical Image Archival and Transmission. Application of Image Analysis. Summary. Assessment. Biomarkers and Drug Development. Genomics. Proteomics and Pathways. Bioinformatics in Vaccine Development. Bioinformatics in Antibodies. Summary. Assessment. Clinical Data Analysis. Clinical Data Classification. Decision Support Systems. Disease Identification. Pharmokinetics and Pharmacodynamics. Summary. Assessment. Mobile Health and Remote Monitoring. Remote Monitoring. Mobile Monitoring. Assessment. Conclusion and Future of Health Informatics.

About the Authors

Arvind Bansal is a full professor of Computer Science at Kent State University. He received both B. Tech (1979) in Electrical Engineering and M. Tech (1983) in Computer Science from Indian Institute of Technology at Kanpur, India; and Ph. D. (1988) in Computer Science from Case Western Reserve University, Cleveland, Ohio, USA. He has been a faculty member of Computer Science at Kent State University, Kent, Ohio, USA since 1988. He has taught regularly undergraduate and graduate level courses in the areas of artificial intelligence, multimedia languages and systems, and programming languages. He has been teaching a graduate level course on “Health Informatics” regularly since 2012.

Javed Khan is a full professor of Computer Science at Kent State University. He received his B. Tech (1987) in Electrical Engineering from Bangladesh University of Engineering and Technology (BUET), Bangladesh and his MS(1990) and PhD(1995) in Electrical Engineering (Computer Track) from University of Hawaii at Manoa, USA. He has been a faculty member of Computer Science at Kent State University, Kent, Ohio since 1997. He has taught regularly undergraduate and graduate courses in the areas of Internet engineering, Peer-to-Peer systems, artificial intelligence, Algorithms, and Networking.

S. Kaisar Alam has done his B. Tech (1986) in Electronics and Electrical Communication Engineering from IIT Kharagpur, India (1986), MS (1991) and PhD (1996) in Electrical Engineering from University of Rochester, Rochester, NY, USA. He was a member of the research staff in Biomedical Engineering Laboratories during 1998-2013. He has served as a visiting professor at RUTGERS, The State University of New Jersey, NY, USA. He has been a Fullbright scholar. He has currently founded his own company for medical image analysis. He is a senior member of AIUM and IEEE.

About the Series

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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Subject Categories

BISAC Subject Codes/Headings:
COM012040
COMPUTERS / Programming / Games
COM021030
COMPUTERS / Database Management / Data Mining
MED000000
MEDICAL / General
MED002000
MEDICAL / Administration
SCI010000
SCIENCE / Biotechnology