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What is Machine Learning Model To Predict Mental Health Crises From Electronic Health Records about?

A machine learning model was developed to predict mental health crises using electronic health records, achieving a sensitivity of 58% and specificity of 85%. The model was evaluated in a clinical setting, demonstrating clinical value in managing caseloads and mitigating crisis risk in 64% of cases. This study is notable for its continuous prediction of a wide range of mental health crises, addressing the limitations of manual patient record reviews.

Author

okhan6943

Language

EN