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Development and Evaluation of Machine Learning Models to Predict Mechanical Restraint and Related Coercive Measures in Hospital Psychiatry
2025-12-16
psychiatry and clinical psychology
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IntroductionUse of coercive measures in psychiatric hospitals is clinically and ethically challenging. Aiming to support prevention, we developed and evaluated machine learning models to predict both mechanical restraint and a broader composite outcome that includes related coercive measures. MethodsThe dataset comprised electronic health records (EHR) from adults ([≥]18 years) who had at least one admission to the Psychiatric Services in the Central Denmark Region between 2015 and 2021. For...
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