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Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We sought to develop/validate a machine-learned, prognostic risk score (KidneyIntelX™) combining electronic health records (EHR) and biomarkers.

diabetologia

Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease