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

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Natural Language Processing (917) Machine Learning (2076) Intentional Self-Harm (136) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Digital Biomarkers and Digital Phenotyping (284) Mental Health Surveillance and Epidemiology (95) Depression and Mood Disorders; Suicide Prevention (1690) Infodemiology and Infoveillance (1558)

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 (1) 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