A scoping review of 32 studies finds that ML models for suicide risk in military and veteran groups achieve moderate accuracy, identify consistent risk factors, but lack PPV/NPV, survival metrics, and clinical integration.
Preva- lence and correlates of suicidal behavior among soldiers: results from the army study to assess risk and resilience in servicemembers (army STARRS)
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Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review
A scoping review of 32 studies finds that ML models for suicide risk in military and veteran groups achieve moderate accuracy, identify consistent risk factors, but lack PPV/NPV, survival metrics, and clinical integration.