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

Reviews in Digital Mental Health (247) Machine Learning (1505) Anxiety and Stress Disorders (1081) Diagnostic Tools in Mental Health (249) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1568) Tools, Programs and Algorithms (275)

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 (3) Tweetations Metrics

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  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
  2. . Advances in Wearable Sensor-Based Machine Learning for Mental Stress Detection: Techniques, Challenges, and Future Directions. REST Journal on Data Analytics and Artificial Intelligence 2023;3(3):130 View
  3. N K, C A, N S, B R. Advancements in Machine Learning-based Predictive Models for Bipolar Disorder Episodes. Journal of Soft Computing Paradigm 2024;6(4):350 View