This paper is in the following e-collection/theme issue:

Reviews in Digital Mental Health (243) Machine Learning (1465) Anxiety and Stress Disorders (1053) Diagnostic Tools in Mental Health (242) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Tools, Programs and Algorithms (266)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53714, first published .
Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review

Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review

Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review

Authors of this article:

Moein Razavi1, 2 Author Orcid Image ;   Samira Ziyadidegan1 Author Orcid Image ;   Ahmadreza Mahmoudzadeh3 Author Orcid Image ;   Saber Kazeminasab4 Author Orcid Image ;   Elaheh Baharlouei5 Author Orcid Image ;   Vahid Janfaza2 Author Orcid Image ;   Reza Jahromi1, 2 Author Orcid Image ;   Farzan Sasangohar1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Ding H, Li N, Li L, Xu Z, Xia W. Machine learning-enabled mental health risk prediction for youths with stressful life events: A modelling study. Journal of Affective Disorders 2025;368:537 View