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

Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach, authored by Shikha Jain, is a comprehensive guide for public health authorities, researchers, and health professionals in psychological health. The book explores how AI and 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 natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety, and depression, making this a timely resource on the latest updates in the field.

The book examines 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, and highlights innovative AI solutions and bi-statistics computation that can strengthen day-to-day medical procedures and decision-making.

Product Details:

Publisher: Elsevier Science

Publication Date: April 22, 2022

Language: English

ISBN: 9780323911962, 9780323915557