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

ABSTRACT:

Background

Type 2 diabetes (T2D) is approximately twice as common among individuals with mental illness compared with the background population, but may be prevented by early intervention on lifestyle, diet, or pharmacologically. Such prevention relies on identification of those at elevated risk (prediction). The aim of this study was to develop and validate a machine learning model for prediction of T2D among patients with mental illness.

Methods

The study was based on routine clinical data from electronic health records from the psychiatric services of the Central Denmark Region. A total of 74,880 patients with 1.59 million psychiatric service contacts were included in the analyses. We created 1343 potential predictors from 51 source variables, covering patient-level infor

SUBMITTER: Bernstorff M 

PROVIDER: S-EPMC11787919 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature