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

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Yes, you can access Artificial Intelligence, Machine Learning, and Mental Health in Pandemics by Shikha Jain,Kavita Pandey,Princi Jain,Kah Phooi Seng in PDF and/or ePUB format, as well as other popular books in Psychology & History & Theory in Psychology. We have over one million books available in our catalogue for you to explore.

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Year

Print ISBN

eBook ISBN

Topic

Subtopic

History & Theory in Psychology

Index

Psychology

Title of Book
Cover image
Title page
Table of Contents
Copyright
Contributors
Author biographies
Editor biographies
Acknowledgment
Glossary
Introduction
Chapter One Mental health impact of COVID-19 and machine learning applications in combating mental disorders: a review
Chapter Two Multimodal depression detection using machine learning
Chapter Three A graph convolutional network based framework for mental stress prediction
Chapter Four Women working in healthcare sector during COVID-19 in the National Capital Region of India: a case study
Chapter Five Impact of COVID-19 on women educators
Chapter Six A deep learning approach toward prediction of mental health of Indians
Chapter Seven Machine learning based analysis and prediction of college students' mental health during COVID-19 in India
Chapter Eight Modeling the impact of the COVID-19 pandemic and socioeconomic factors on global mobility and its effects on mental health
Chapter Nine Depression detection: approaches, challenges and future directions
Chapter Ten Improving mental health surveillance over Twitter text classification using word embedding techniques
Chapter Eleven Predicting loneliness from social media text using machine learning techniques
Chapter Twelve Perceiving the level of depression from web text
Chapter Thirteen Technologies for vaccinating COVID-19, its variants and future pandemics: a short survey
Chapter Fourteen A blockchain approach on security of health records for children suffering from dyslexia during pandemic COVID-19
Index

About this book

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Table of contents