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Predicting suicide risk in real-time crisis hotline chats integrating machine learning with psychological factors: Exploring the black box.

Meytal GrimlandJoy BenatovHadas YeshayahuDaniel IzmaylovAvi SegalKobi GalYossi Levi-Belz
Published in: Suicide & life-threatening behavior (2024)
This study highlights the potential of how ML models combined with theory-driven knowledge can improve suicide risk prediction. Our study underscores the importance of hopelessness and thwarted belongingness in suicide risk and thus their role in suicide prevention and intervention.
Keyphrases
  • machine learning
  • randomized controlled trial
  • healthcare
  • public health
  • depressive symptoms
  • artificial intelligence
  • sleep quality