The purpose of the proposed work is to harness cutting-edge machine learning methods to optimize prediction of future firearm violence in youth ages 18-24 so that prevention resources can be allocated efficiently.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Firearm Violence Involvement
Timeframe: 1 Year After Baseline ED Visit