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Titlebook: Health Informatics Data Analysis; Methods and Examples Dong Xu,May D. Wang,Yunpeng Cai Book 2017 Springer International Publishing Switzerl

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Metagenomics for Monitoring Environmental Biodiversity: Challenges, Progress, and Opportunities,tep-by-step tutorial is then given using the popular QIIME pipeline on a bacterial 16S rRNA study case, which would benefit new scientists of the field for the startup of a successful metagenome project.
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Big Health Data Mining, involved in health informatics. Then we introduce some general data mining approaches applied to different levels of health data. Finally, a case study is illustrated as an example for applying computational methods on mining long-term EHR data in epidemiological studies.
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Computational Infrastructure for Telehealth,system. Telehealth solution provides a ‘complete-loop’ concept for hypertension management with sensor device, mobile, and web-based applications providing means for health status management for both healthcare consumer and healthcare provider.
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2366-0988 iews and sample analysis.Examines OMICs, an increasingly criThis 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 a
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Book 2017 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
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