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

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2370) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2001) Infodemiology and Infoveillance (1618) Natural Language Processing (997) Depression and Mood Disorders; Suicide Prevention (1803) Machine Learning (2319) Intentional Self-Harm (148) Digital Biomarkers and Digital Phenotyping (342) Mental Health Surveillance and Epidemiology (108)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49927, first published .
Teens on smartphones with social media icons floating above

Machine Learning–Based Suicide Risk Prediction Model for Suicidal Trajectory on Social Media Following Suicidal Mentions: Independent Algorithm Validation

Machine Learning–Based Suicide Risk Prediction Model for Suicidal Trajectory on Social Media Following Suicidal Mentions: Independent Algorithm Validation

Authors of this article:

Zachary Kaminsky1, 2, 3, 4 Author Orcid Image ;   Robyn J McQuaid1, 5 Author Orcid Image ;   Kim GC Hellemans5 Author Orcid Image ;   Zachary R Patterson5 Author Orcid Image ;   Mysa Saad1, 6 Author Orcid Image ;   Robert L Gabrys5 Author Orcid Image ;   Tetyana Kendzerska6, 7 Author Orcid Image ;   Alfonso Abizaid5 Author Orcid Image ;   Rebecca Robillard1, 8 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics

Journals

  1. Baydili İ, Tasci B, Tasci G. Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses. Diagnostics 2025;15(4):434 View
  2. KINA E, Choi J, Ishaq A, Shafique R, Villar M, Alvarado E, Diez I, Ashraf I. Suicide Ideation Detection Using Social Media Data and Ensemble Machine Learning Model. International Journal of Computational Intelligence Systems 2026;19(1) View
  3. He Y, He Y, Liu D. Mental Health Risk Detection From Social Media Text Data: A Scoping Review of the Machine Learning Research Landscape. PsyCh Journal 2026;15(3) View
  4. Mokheleli T, Makaba T, Ndayizigamiye P, Ndlovu N, Twinomurinzi H. Explainable Machine Learning for Suicide Risk Assessment Using Social Media Data. IEEE Access 2026;14:77656 View

Conference Proceedings

  1. R J, Umamageswaran J, M P. 2026 7th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). Tri-Modal Deep Learning for Interpretable and Non-Invasive Suicide Risk Detection View
  2. Wang L, Chuang P, Li M, Li C. 2025 IEEE International Conference on Big Data (BigData). PoWER-M: Prediction of Writing-Based Emotional Risk with Mental-Adaptive Multi-Modal Learning View
  3. Yeasmin S, Ferdousmou J, Islam A, Islam M, Sobur A, Afroj T, Saha S, Ahmed A. 2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET). AI-Based Predictive Models for Suicide Prevention and Crisis Intervention in the U.S. View