Using advanced machine learning models, researchers in China were able to accurately predict incidence of gestational diabetes among ... electronic health record data from a Chinese hospital ...

Researchers created a machine-learning–based model to help predict which patients will develop diabetes ... Japan. The data included results of physical examinations and blood and urine tests ...

The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods ... were identified from the data, and based on these ...

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.

A new study unveils a new, machine-learning derived model that can predict ... called WATCH-DM -- the team leveraged data from 8,756 patients with diabetes enrolled in the Action to Control ...

Over 2,250 samples from 184 participants yielded 376 regulated proteins identified using machine learning analyses to predict autoimmunity preceding type 1 diabetes. These results give insights ...

Please provide your email address to receive an email when new articles are posted on . For patients with type 2 diabetes or the APOL1-HR genotype, a machine learning test integrating biomarkers ...

“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 ...