Developing a machine learning model to identify delirium risk in geriatric internal medicine inpatients.

Purpose: To develop a machine learning model that predicts delirium risk in geriatric internal medicine inpatients.

Methods: A prospective cohort study of internal medicine wards in a tertiary care hospital in China. Blinded observers assessed delirium using the Confusion Assessment Method (CAM).