Individuals with diabetes struggle to maintain 100% engagement with all self-management behaviors and to optimally match insulin doses to insulin need. Clinic visits are an ideal time to identify individuals at-risk for deteriorating glycemic control.
We developed a machine learning algorithm that predicts risk for decreased sensor glucose time in range (TIR) following a clinic appointment, using primarily clinic-uploaded device data.
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