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

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2173) Natural Language Processing (931) Machine Learning (2134) Intentional Self-Harm (140) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1933) Digital Biomarkers and Digital Phenotyping (297) Mental Health Surveillance and Epidemiology (97) Depression and Mood Disorders; Suicide Prevention (1720) Infodemiology and Infoveillance (1570)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49927, first published .
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

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 (2) 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 View