Innovations

Poor glycemic control in patients with type 2 diabetes can be predicted from patient information with the help of AI

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Professional, doctor. Scientist with microscope

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 predicting glycemic control include prior glucose levels, duration of type 2 diabetes, and the patient’s existing anti-diabetic medicines.

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