Health Informatics Data Analysis: Methods and Examples (Health Information Science)
Health Informatics Data Analysis: Methods and Examples (Health Information Science) by Dong Xu
English | 2017 | ISBN: 3319449796 | 222 Pages | PDF | 6 MB
English | 2017 | ISBN: 3319449796 | 222 Pages | PDF | 6 MB
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.