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Using Predictive Analytics to Tailor Care for Patients with Newly Diagnosed Type 2 Diabetes

This study will use electronic health record-derived patient data collected on adults newly diagnosed with type 2 diabetes from 2010-2015 and followed for 5 years to develop and validate machine-learning based predictive models to identify patients at increased risk for suboptimal 5-year glycemic trends to inform early care strategies..
Investigator: Gopalan, Anjali
Funder: National Institute of Diabetes and Digestive and Kidney Diseases