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

Author: Shikha Jain

Overview: This comprehensive guide is designed for public health authorities, researchers, and health professionals in psychological health. It explores how Artificial Intelligence (AI) and Machine Learning (ML) based solutions can assist with monitoring, detection, and intervention for mental health at an early stage.

Key Features:

• Computational Approaches: The book delves into computational models and approaches that can be utilized to address mental health issues.
• Machine Learning-Based Detection: It covers machine learning solutions that can help determine the precautionary measures of psychological health problems, including anxiety and depression detection.
• Artificial Intelligence Detection: The book highlights innovative AI solutions and bi-statistics computation that can strengthen day-to-day medical procedures and decision-making.
• Timely Resource: 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.

Publication Details:

Publisher: Elsevier Science

Publication Date: April 22, 2022

Language: English

ISBN: 9780323911962, 9780323915557