Machine Learning for Differential Prediction of Suicidality in Veterans, First Responders, and Civilians in Residential Treatment

Do predictors of suicidal ideation (SI) while in residential mental health treatment differ across civilian, veteran, and first responder populations? Machine learning models fit to data from each population finds SI is harder to predict in first responders, and emphasizes different key predictors across groups (e.g., coping skills).