Editors:
- Offers a comprehensive overview of biomedical data types and explains why and how to examine types of data
- Chapters provide both field overviews and sample analysis
- Examines OMICs, an increasingly critical part of health informatics with official FDA recognition and a wide range of diagnosis applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Health Information Science (HIS)
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Table of contents (13 chapters)
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Front Matter
About this book
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.
Keywords
- Health informatics
- Bioinformatics
- Electrocardiogram
- EEG
- Biomedical image
- Image fusion
- Electronic health record
- Genome
- Functional domain
- Post-translational modification
- Microarray
- High-thoughtput sequencing
- Information fusion
- Data mining
- Big data health mining
- Computational infrastructure
- Tele-health
- Metabolomics
- Mass spectrometry imaging
- OMIC
Reviews
Editors and Affiliations
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Digital Biology Laboratory, Computer Science Department, University of Missouri-Columbia, Columbia, USA
Dong Xu
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Georgia Institute of Technology and Emory University, Atlanta, USA
May D. Wang
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College of Computer Science and Technology, Jilin University, Changchun, China
Fengfeng Zhou
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Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Yunpeng Cai
Bibliographic Information
Book Title: Health Informatics Data Analysis
Book Subtitle: Methods and Examples
Editors: Dong Xu, May D. Wang, Fengfeng Zhou, Yunpeng Cai
Series Title: Health Information Science
DOI: https://doi.org/10.1007/978-3-319-44981-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-44979-1Published: 18 September 2017
Softcover ISBN: 978-3-319-83178-7Published: 10 August 2018
eBook ISBN: 978-3-319-44981-4Published: 08 September 2017
Series ISSN: 2366-0988
Series E-ISSN: 2366-0996
Edition Number: 1
Number of Pages: X, 210
Number of Illustrations: 54 b/w illustrations
Topics: Health Informatics, Health Informatics, Data Mining and Knowledge Discovery, Computational Biology/Bioinformatics, Genetics and Population Dynamics