Artificial intelligence, machine learning, and mental health in pandemics a computational approach Jain, Shikha (Computer scientist) editor. Pandey, Kavita editor. Jain, Princi editor. Seng, Kah Phooi 1974- editor. ScienceDirect (Online service) text bibliography Electronic books. enk London Academic Press 2022 monographic eng remote 1 online resource (xliv, 374 pages) 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. Mental health impact of COVID-19 and machine learning applications in combating mental disorders : a review / Chirantan Ganguly, Sagnik Nayak and Anil Kumar Gupta -- Multimodal depression detection using machine learning / Roshan Jahan and Manish Madhav Tripathi -- A graph convolutional network based framework for mental stress prediction / Akhila Sahiti Racherla, Raj Sahu and Vandana Bhattacharjee -- Women working in healthcare sector during COVID-19 in the National Capital Region of India : a case study / Veenus Jain and Senu Mary Skariah -- Impact of COVID-19 on women educators / Veenus Jain and Meher Chopra -- A deep learning approach toward prediction of mental health of Indians / V. Kavitha and C. Akila -- Machine learning based analysis and prediction of college students' mental health during COVID-19 in India / Aparajita Nanda, Sonal Tuteja and Sarishty Gupta -- Modeling the impact of the COVID-19 pandemic and socioeconomic factors on global mobility and its effects on mental health / Shashank Uttrani, Bharti Nanta, Neha Sharma and Varun Dutt -- Depression detection : approaches, challenges and future directions / Tara Rawat and Shikha Jain -- Improving mental health surveillance over Twitter text classification using word embedding techniques / Reno Ardian Syaputra and Rashid Ali -- Predicting loneliness from social media text using machine learning techniques / Rishik Sood, Hrishav Varma, Kavita Pandey, Shikha Jain, Degala Sriram and Arshpreet Singh Guglani -- Perceiving the level of depression from web text / Sankalp Singh Bisht, Herumb Shandilya, Vaibhav Gupta, Shriyansh Agrawal and Shikha Jain -- Technologies for vaccinating COVID-19, its variants and future pandemics : a short survey / Saurabh Jain, Priyanka Chawla, Keshav Kaushik and Adarsh Kumar -- A blockchain approach on security of health records for children suffering from dyslexia during pandemic COVID-19 / Megha Jain, Dhiraj Pandey and Kewal Krishna Sharma. edited by Shikha Jain, Kavita Pandey, Princi Jain, Kah Phooi Seng. Includes bibliographical references and index. Artificial intelligence Medical applications Machine learning Mental health COVID-19 Pandemic, 2020-2023 Psychological aspects Machine Learning Intelligence artificielle Applications en médecine Apprentissage automatique Pandémie de COVID-19, 2020-2023 Aspect psychologique Artificial intelligence Medical applications Machine learning Mental health COVID-19 Pandemic (2020-) fast https://id.oclc.org/worldcat/entity/E39Qhp4vB9ppxymcDb8984mKfy Since 2020 fast R859.7.A78 A78 2022 610.285 Artificial intelligence, machine learning, and mental health in pandemics London : Academic Press, 2022 (OCoLC)1308480369 9780323915557 0323915558 9780323911962 032391196X 9780323915557 O'Reilly Media http://proxy.library.tamu.edu/login?url=https://www.sciencedirect.com/science/book/9780323911962 YDX 220427 20260327172323.6 in00005769620 eng