Poor glycemic control in patients with type 2 diabetes can be predicted from patient information systems with the help of machine learning. 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. The researchers examined glycaemic control in patients with type 2 diabetes in North Karelia, Finland, over a period of six years. Patients’ glycemic control was determined on the
Poor glycemic control predictions from AI as seen on The Hippocratic Post.