Jakob Grøhn Damgaard

Development and evaluation of machine learning models to predict mechanical restraint and related coercive measures in hospital psychiatry

Abstract Introduction Use 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 rel...