Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Health Informatics Data Analysis: Methods and Examples

Health Informatics Data Analysis: Methods and Examples

Xu, Dong
Wang, May D.
Zhou, Fengfeng

Hardcover

Series: Health Information Science

Medical ReferenceDatabasesGeneral Computers

ISBN10: 3319449796
ISBN13: 9783319449791
Publisher: Springer
Published: Sep 18 2017
Pages: 210
Weight: 1.08
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
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.

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