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Current gold standard methodologies for diagnosing type 2 diabetes (T2D) or prediabetes can be unreliable and inaccurate, and require the need for multiple different tests for comparison. It is possible that a simpler and more refined method of diagnosing T2D or prediabetes involves examining the proportional-integral (PI) control system of the body's glycemic function (i.e., a model of the glucose curve). The purpose of this research is to examine how well a PI model can diagnose nondiabetic, prediabetic, or diabetic patients based on glucose data gathered from a wearable glucose monitoring device.
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150 participants in 3 patient groups
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Data sourced from clinicaltrials.gov
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