Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach


Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach
Author: Shikha Jain,Kavita Pandey,Princi Jain,Kah Phooi Seng (Editor)
Publisher finelybook 出版社: Academic Press; (May 20, 2022)
Language 语言: English
Print Length 页数: 418 pages
ISBN-10: 032391196X
ISBN-13: 9780323911962


Book Description
By finelybook

Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach provides a comprehensive guide for public health authorities, researchers and health professionals in psychological health. The book takes a unique approach Author: exploring how Artificial Intelligence (AI) and Machine Learning (ML) based solutions can assist with monitoring, detection and intervention for mental health at an early stage. Chapters include computational approaches, computational models, machine learning based anxiety and depression detection and artificial intelligence detection of mental health.
With the increase in number of natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety and depression, hence this is a timely resource on the latest updates in the field.
Examines the datasets and algorithms that can be used to detect mental disorders
Covers machine learning solutions that can help determine the precautionary measures of psychological health problems

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