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

Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach 1st Edition
Author: Shikha Jain (Editor), Kavita Pandey (Editor), Princi Jain (Editor), Kah Phooi Seng (Editor)

Publisher ‏ : ‎ Academic Press; 1st edition (May 20, 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 418 pages
ISBN-10 ‏ : ‎ 032391196X
ISBN-13 ‏ : ‎ 9780323911962

Book Description
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
Highlights innovative AI solutions and bi-statistics computation that can strengthen day-to-day medical procedures and decision-making


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