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Big Data Analytics for Healthcare

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

Paperback (24 May 2022)

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Publisher's Synopsis

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.

Book information

ISBN: 9780323919074
Publisher: Elsevier Science
Imprint: Academic Press
Pub date:
DEWEY: 610.285
DEWEY edition: 23
Language: English
Number of pages: 400
Weight: 954g
Height: 275mm
Width: 301mm
Spine width: 25mm