Big Data Analytics for Healthcare - Datasets, Techniques, Life Cycles, Management, and Applications (Paperback)

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.

General

Imprint:	Academic Press Inc
Country of origin:	United Kingdom
Release date:	May 2022
First published:	2022
Editors:	Pantea Keikhosrokiani
Dimensions:	235 x 191 x 25mm (L x W x T)
Format:	Paperback
Pages:	354
ISBN-13:	978-0-323-91907-4
Categories:	Books > Business & Economics > Industry & industrial studies > Manufacturing industries > Hi-tech manufacturing industries Books > Medicine > General issues > Public health & preventive medicine > Personal & public health > General Promotions
LSN:	0-323-91907-3
Barcode:	9780323919074

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