In this cohort study of 120 398 adult patient encounters, an ensemble learning approach combined suicide risk predictions from the Columbia Suicide Severity Rating Scale and a real-time machine learning model. Combined models outperformed either model alone for risks of suicide attempt and suicidal ideation across a variety of time periods.
5/17/2022
Integration of Face-to-Face Screening With Real-time Machine Learning to Predict Risk of Suicide Among Adults
Drew Wilimitis, Robert W. Turer, Michael Ripperger, et al., Integration of Face-to-Face Screening With Real-time Machine Learning to Predict Risk of Suicide Among Adults, JAMA Netw Open. 2022; 5(5):e2212095. doi:10.1001/jamanetworkopen.2022.12095.
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