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Academic Press Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications

Name: Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications
Brand: Academic Press

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Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems

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Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications

Product type: ABIS BOOK

Brand: Academic Press

Product Specifications

Brand: Academic Press
Format: paperback
ASIN: 0323919073
Category: Books > Subjects > Business, Finance & Law > Management > Distribution > Retail
Domain: Amazon UK
Release Date: 24 May 2022
Listed Since: 16 December 2021

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Academic Press Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications

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