Results presented at the 85th Scientific Sessions of the American Diabetes Association in Chicago highlight the potential for ...

Segar, M, Vaduganathan, M et al. Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score. Diabetes Care , 2019 DOI: 10. ...

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.

The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study finds. The most important factors predicting ...

Using advanced machine learning models, researchers in China were able to accurately predict incidence of gestational diabetes among pregnant women during their first trimester. GDM affects up to ...

For patients with type 2 diabetes or the APOL1-HR genotype, a machine learning test integrating biomarkers and electronic health record data demonstrated improved prediction of kidney failure ...

IBM Watson Health also outlined its prediction model, which was trained on anonymized Guardian Connect user data. The machine learning models had 90% accuracy in predicting hypoglycemic events in ...