Abstract
Over 500,000 patients in the United States present to EDs for self-harm or suicide attempts annually, and these patients are at high risk for completed suicide. EDs are therefore a potential venue for the delivery of lifesaving interventions to prevent suicide but identifying patients at imminent risk for serious self-harm is difficult. Our objective was to develop an accurate, interpretable predictive model to identify patients at high risk for self-harm and suicide attempts, and to identify opportunities for early intervention in the ED.
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