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

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

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

Author(s): Jain (Editor), Pandey (Editor), Seng (Editor)

  • Publisher: Academic Press
  • Publication Date: 22 April 2022
  • Language: English
  • Print length: 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 by 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

Editorial Reviews

Review

Explores how Artificial Intelligence (AI) and Machine Learning (ML) based solutions can assist with monitoring, detection, and intervention in mental health

From the Back Cover

With the increase in number of natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety and depression. 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. This book takes a unique approach by 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 model, machine Learning based anxiety and depression detection and Artificial intelligence detection of mental health.

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