The role of AI chatbots in mental health related public services in a (post) pandemic world: a review and future research agenda

N Damij, S Bhattacharya - 2022 IEEE Technology and …, 2022 - ieeexplore.ieee.org
The purpose of this paper is to explore the advances in artificial intelligence (AI) chatbots as
part of public services, mainly when applied to mental health in today's post-pandemic …

Machine learning, deep learning and data preprocessing techniques for detection, prediction, and monitoring of stress and stress-related mental disorders: a scoping …

M Razavi, S Ziyadidegan, R Jahromi… - arXiv preprint arXiv …, 2023 - arxiv.org
This comprehensive review systematically evaluates Machine Learning (ML) methodologies
employed in the detection, prediction, and analysis of mental stress and its consequent …

Artificial intelligence-based analytics for impacts of COVID-19 and online learning on college students' mental health

M Rezapour, SK Elmshaeuser - PLoS One, 2022 - journals.plos.org
COVID-19, the disease caused by the novel coronavirus (SARS-CoV-2), first emerged in
Wuhan, China late in December 2019. Not long after, the virus spread worldwide and was …

Impact of AI and COVID-19 on manufacturing systems: An Asia Pacific Perspective on the two Competing exigencies

MM Bishnoi, S Ramakrishnan, S Suraj… - Production & …, 2023 - Taylor & Francis
ABSTRACT COVID-19 pandemic underscored reliance upon technology as the singular
solution to many of humanity's banes and provided impetus to Artificial Intelligence (AI). The …

Prediction of mental health among university students

F Sahlan, F Hamidi, MZ Misrat, MH Adli… - … on Perceptive and …, 2021 - journals.iium.edu.my
Mental Illness or mental disorder is defined as a health condition that changes a person's
thinking, feelings, or behaviour which can cause the person to distress and face difficulty to …

Predictive machine learning model for mental health issues in higher education students due to COVID-19 using HADS assessment

R Krishnan, S Kumari, AA Badi, S Jeba… - Arab Gulf Journal of …, 2023 - emerald.com
Purpose Students pursuing different professional courses at the higher education level
during 2021–2022 saw the first-time occurrence of a pandemic in the form of coronavirus …

[HTML][HTML] Systematic review of machine learning techniques to predict anxiety and stress in college students

A Daza, N Saboya, JI Necochea-Chamorro… - Informatics in medicine …, 2023 - Elsevier
Background Anxiety is considered one of the most common pathologies that people go
through frequently, this being the main cause of illness and disability in students since it is …

[HTML][HTML] Stacking ensemble learning model for predict anxiety level in university students using balancing methods

A Daza, J Bobadilla, O Apaza, J Pinto - Informatics in Medicine Unlocked, 2023 - Elsevier
Background Anxiety is known as one of the most common health disorders affecting a large
part of the population with a high social and personal impact, which affects about 25% of …

Machine Learning Techniques for Prediction of Stress-Related Mental Disorders: A Scoping Review

M Razavi, S Ziyadidegan… - Proceedings of the …, 2022 - journals.sagepub.com
The goal of this paper is to review the literature on machine learning (ML) and big data
applications for mental health, emphasizing current research and practical implementations …

[HTML][HTML] Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders …

M Razavi, S Ziyadidegan, A Mahmoudzadeh… - JMIR Mental …, 2024 - mental.jmir.org
Background Mental stress and its consequent mental health disorders (MDs) constitute a
significant public health issue. With the advent of machine learning (ML), there is potential to …