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- Nov 30, 2004
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The study's objective was to "develop/validate a machine-learned, prognostic risk score (KidneyIntelX™) combining electronic health records (EHR) and biomarkers." This is rather interesting since diabetic nephropathy is all too common in the USA. Read at your leisure.
Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease - Diabetologia
Aim 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. Methods This is an observational cohort study of...
link.springer.com