The performance of different machine learning models in detecting hepatitis among people with diabetes.

A second paper studied a model that uses natural language processing to align data from different EHR systems to ensure machine-learning models can maintain their predictive firepower across ...

“In patients with type 2 diabetes, a [machine learning] model combining plasma biomarkers and longitudinal EHR data significantly improved prediction of [rapid kidney function decline] RFKD over ...

In a recent study published in eClinicalMedicine, researchers developed questionnaire-based models for predicting diabetes mellitus type 2 (T2D) incidence and prevalence across differing ethnicities.

Children's Mercy Kansas City (Mo.) and Boston-based Joslin Diabetes Center will deploy predictive models for Type 1 diabetes management using technology from Cambridge, Mass.-based Cyft.

Researchers created a machine-learning–based model to help predict which patients will develop diabetes, according to an abstract to be published in the Journal of the Endocrine Society.