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Predictive Analytics of Psychological Disorders in Healthcare - Data Analytics on Psychological Disorders (Paperback, 1st ed. 2022) Loot Price: R4,322
Discovery Miles 43 220
Predictive Analytics of Psychological Disorders in Healthcare - Data Analytics on Psychological Disorders (Paperback, 1st ed....

Predictive Analytics of Psychological Disorders in Healthcare - Data Analytics on Psychological Disorders (Paperback, 1st ed. 2022)

Mamta Mittal, Lalit Mohan Goyal

Series: Lecture Notes on Data Engineering and Communications Technologies, 128

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Loot Price R4,322 Discovery Miles 43 220 | Repayment Terms: R405 pm x 12*

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This book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics. It presents research studies by experts helping to fight discontent, distress, anxiety and unrealized potential by using mathematical models, machine learning, artificial intelligence, etc. and take preventive measures beforehand. Psychological disorders and biological abnormalities are significantly related with the applications of cognitive illnesses which has increased significantly in contemporary years and needs rapid investigation. The research content of this book is helpful for psychological undergraduates, health workers and their trainees, therapists, medical psychologists, and nurses.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Lecture Notes on Data Engineering and Communications Technologies, 128
Release date: May 2022
First published: 2022
Editors: Mamta Mittal • Lalit Mohan Goyal
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 303
Edition: 1st ed. 2022
ISBN-13: 978-981-19-1723-3
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing
Books > Social sciences > Psychology > Cognition & cognitive psychology > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 981-19-1723-X
Barcode: 9789811917233

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