A new machine learning framework using routine clinical variables predicts medium-term type 2 diabetes risk in patients with ...
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 from Finland finds. The most important factors ...
University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care. Shakeri will ...
A retrospective study evaluating a gradient boosting model incorporating heart function and inflammatory markers found ...
Newswise — The same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range.
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