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

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

$608.99
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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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MORE INFO
Format
Paperback
Publisher
Elsevier Science & Technology
Country
United Kingdom
Date
22 April 2022
Pages
418
ISBN
9780323911962

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.

Read More
Format
Paperback
Publisher
Elsevier Science & Technology
Country
United Kingdom
Date
22 April 2022
Pages
418
ISBN
9780323911962