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

Depression and Mood Disorders; Suicide Prevention (1391) Machine Learning (1493) Artificial Intelligence (1414) Methods and New Tools in Mental Health Research (463) Users' and Patients' Needs for Mental Health Services (408)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42420, first published .
Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach

Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach

Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach

Authors of this article:

Ayako Baba1 Author Orcid Image ;   Kyosuke Bunji2 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

  1. Daza A, Arroyo-Paz , Bobadilla J, Apaza O, Pinto J. Stacking ensemble learning model for predict anxiety level in university students using balancing methods. Informatics in Medicine Unlocked 2023;42:101340 View
  2. Daza A, Saboya N, Necochea-Chamorro J, Zavaleta Ramos K, Vásquez Valencia Y. Systematic review of machine learning techniques to predict anxiety and stress in college students. Informatics in Medicine Unlocked 2023;43:101391 View
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  7. Vandana , Srivastava S, Arora N, Gupta V. An Efficient Deep Learning Model Using Harris-Hawk Optimizer for Prognostication of Mental Health Disorders. International Research Journal of Multidisciplinary Technovation 2024:106 View
  8. Zhang L, Zhao S, Yang Z, Zheng H, Lei M. An artificial intelligence tool to assess the risk of severe mental distress among college students in terms of demographics, eating habits, lifestyles, and sport habits: an externally validated study using machine learning. BMC Psychiatry 2024;24(1) View
  9. 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
  10. Muntean R, Stefanica V, Rosu D, Boncu A, Stoian I, Oravitan M. Examining the interplay between mental health indicators and quality of life measures among first-year law students: a cross-sectional study. PeerJ 2024;12:e18245 View