HOUSTON — Machine learning has immense potential for improving diabetes care, particularly when used by diabetes care and education specialists, according to two presenters at the American ...

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 ...

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

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 ...

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.

Chronic diseases such as Type 2 diabetes take a massive toll on Canadians, both on our health and on our health-care system. Since obesity and inactivity are major risk factors for diabetes, the most ...