Evaluating the Performance of Machine Learning Methods for Risk Estimation of Delirium in Patients Hospitalized from the Emergency Department.

This study demonstrated the use of machine learning algorithms to identify a combination of variables that enables an estimation of risk of positive delirium screens early in hospitalization to develop prevention or management protocols.