Three-stage evidence-augmented ML model detects self-harm in ED triage notes at AUPRC ~0.88, transfers across sites without retraining, and identifies primary method at 95% accuracy.
C.et al.Characteristics of surveillance systems for suicide and self-harm: A scoping review.PLOS Global Public Health4, e0003292 (2024)
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Transferable Self-Harm Surveillance from Emergency Department Triage Notes Using an Evidence-Augmented Machine Learning Approach
Three-stage evidence-augmented ML model detects self-harm in ED triage notes at AUPRC ~0.88, transfers across sites without retraining, and identifies primary method at 95% accuracy.