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

Previous efforts to apply machine learning-based natural language processing to longitudinally collected social media data have shown promise in predicting suicide risk. Our primary objective was to externally validate our previous machine learning algorithm, the Suicide Artificial Intelligence Pred...

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Bibliographic Details
Published in:	Journal of medical Internet research Vol. 26; no. 3; p. e49927
Main Authors:	Kaminsky, Zachary, McQuaid, Robyn J, Hellemans, Kim GC, Patterson, Zachary R, Saad, Mysa, Gabrys, Robert L, Kendzerska, Tetyana, Abizaid, Alfonso, Robillard, Rebecca
Format:	Journal Article
Language:	English
Published:	Canada Journal of Medical Internet Research 05.12.2024 JMIR Publications
Subjects:	Adult Algorithms Cohort Studies COVID-19 - psychology Female Health aspects Humans Machine Learning Male Natural Language Processing Prevention Psychological aspects Risk Assessment - methods Risk factors Social Media Suicidal Ideation Suicide Suicide - psychology Suicide - statistics & numerical data Surveys and Questionnaires Young Adult Canada natural language processing suicide risk suicide prediction suicidal ideation suicide risk model Twitter machine learning social media suicidal mention validation
ISSN:	1438-8871, 1439-4456, 1438-8871
Online Access:	Get full text
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