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Health Information Science

Health Informatics Data Analysis

Methods and Examples

Editors: Xu, D., Wang, M.D., Zhou, F., Cai, Y. (Eds.)

  • 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
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Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-44981-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-44979-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.



Table of contents (13 chapters)

  • Global Nonlinear Fitness Function for Protein Structures

    Xu, Yun (et al.)

    Pages 1-35

  • Computational Methods for Mass Spectrometry Imaging: Challenges, Progress, and Opportunities

    Kaddi, Chanchala D. (et al.)

    Pages 37-49

  • Identification and Functional Annotation of LncRNAs in Human Disease

    Liao, Qi (et al.)

    Pages 51-60

  • Metabolomics Characterization of Human Diseases

    Sugimoto, Masahiro

    Pages 61-71

  • Metagenomics for Monitoring Environmental Biodiversity: Challenges, Progress, and Opportunities

    Chandramohan, Raghu (et al.)

    Pages 73-87

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-44981-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-44979-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Health Informatics Data Analysis
Book Subtitle
Methods and Examples
Editors
  • Dong Xu
  • May Dongmei Wang
  • Fengfeng Zhou
  • Yunpeng Cai
Series Title
Health Information Science
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-44981-4
DOI
10.1007/978-3-319-44981-4
Hardcover ISBN
978-3-319-44979-1
Series ISSN
2366-0988
Edition Number
1
Number of Pages
X, 210
Number of Illustrations and Tables
54 b/w illustrations
Topics