Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness.

A machine learning model can accurately predict development of T2D among patients with mental illness based on routine clinical data from electronic health records. A decision support system based on such a model may inform measures to prevent development of T2D in this high-risk population.