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Artificial Intelligence, Machine Learning, and Mental Health in Pandemics

A Computational Approach

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Éditeur :

Academic Press


Paru le : 2022-04-22



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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
Pages
418 pages
Collection
n.c
Parution
2022-04-22
Marque
Academic Press
EAN papier
9780323911962
EAN EPUB SANS DRM
9780323915557
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
138,20 €

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