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

Shikha Jain; Kavita Pandey; Princi Jain; Kah Phooi Seng

doi:10.1016/C2020-0-04085-5

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

Shikha Jain, Kavita Pandey, Princi Jain, Kah Phooi Seng

School of AI and Advanced Computing

Research output: Book/Report/Edited volume › Book › peer-review

6 Citations (Scopus)

Abstract

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.

Original language	English
Publisher	Elsevier
Number of pages	374
ISBN (Electronic)	9780323911962
ISBN (Print)	9780323915557
DOIs	https://doi.org/10.1016/C2020-0-04085-5
Publication status	Published - 1 Jan 2022

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10.1016/C2020-0-04085-5

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abstract = "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.",

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AB - 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.

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BT - Artificial Intelligence, Machine Learning, and Mental Health in Pandemics

PB - Elsevier

ER -

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

Abstract

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