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Health Informatics Data Analysis - Methods and Examples (Hardcover, 1st ed. 2017)
Loot Price: R4,676
Discovery Miles 46 760
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Health Informatics Data Analysis - Methods and Examples (Hardcover, 1st ed. 2017)
Series: Health Information Science
Expected to ship within 12 - 17 working days
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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.
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