Health Informatics Data Analysis Methods and Examples

Health Informatics Data Analysis Methods and Examples / edited by Dong Xu, May D. Wang, Fengfeng Zhou, Yunpeng Cai.

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Xu, Dong (Editor), Wang, May D. (Editor), Zhou, Fengfeng (Editor), Cai, Yunpeng (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Health Information Science,
Springer eBook Collection.
Subjects:
Health informatics.
Data mining.
Bioinformatics.
Biomathematics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1 Electrocardiogram
  • 2 EEG visualization and analysis techniques
  • 3 Big health data mining
  • 4 Computational infrastructure for tele-health
  • 5 Identification and Functional Annotation of lncRNAs in human disease
  • 6 Metabolomics characterization of human diseases
  • 7 Metagenomics for Monitoring Environmental Biodiversity: Challenges, Progress, and Opportunities
  • 8 Global nonlinearfitness function for protein structures
  • 9 Clinical Assessment of Disease Risk Factors Using SNP Data and Bayesian Methods
  • 10 Imaging genetics: information fusion and association techniques between biomedical images and genetic factors.

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