Prediction of Repeated Self-Harm in Six Months: Comparison of Traditional Psychometrics With Random Forest Algorithm

Suicidal risk has been a significant mental health problem. However, the predictive ability for repeated self-harm (SH) has not improved over the past decades. This study thus aimed to explore a potential tool with theoretical accommodation and clinical application by employing traditional logistic...

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Veröffentlicht in:	Omega: Journal of Death and Dying 2024-03, Vol.88 (4), p.1403-1429
Hauptverfasser:	Chen, Shu-Chin, Huang, Hui-Chun, Liu, Shen-Ing, Chen, Sue-Huei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clinical assessment Health problems Medical screening Mental disorders Mental health Predictions Quantitative psychology Risk assessment Risk factors Self destructive behavior Self injury Suicide
Online-Zugang:	Volltext
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