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

Journal: Journal of medical Internet research
PMID: 39637380

Abstract

BACKGROUND: Previous efforts to apply machine learning-based natural language processing to longitudinally collected social media data have shown promise in predicting suicide risk.

Authors

  • Zachary Kaminsky
    University of Ottawa Institute of Mental Health Research at The Royal, Ottawa, ON, Canada.
  • Robyn J McQuaid
    University of Ottawa Institute of Mental Health Research at The Royal, Ottawa, ON, Canada.
  • Kim Gc Hellemans
    Department of Neuroscience, Carleton University, Ottawa, ON, Canada.
  • Zachary R Patterson
    Department of Neuroscience, Carleton University, Ottawa, ON, Canada.
  • Mysa Saad
    Sleep Research Unit, The Royal's Institute of Mental Health Research, 1145 Carling Avenue, Ottawa, ON, K1Z 7K4, Canada.
  • Robert L Gabrys
    Department of Neuroscience, Carleton University, Ottawa, ON, Canada.
  • Tetyana Kendzerska
    Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Alfonso Abizaid
    Department of Neuroscience, Carleton University, Ottawa, ON, Canada.
  • Rébecca Robillard
    Sleep Research Unit, The Royal's Institute of Mental Health Research, 1145 Carling Avenue, Ottawa, ON, K1Z 7K4, Canada. rebecca.robillard@uottawa.ca.

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