Event Dime

Web-based Machine Learning Model for Predicting Chronic Kidney Disease in Patients with Type 2 Diabetes Mellitus: A Multicenter Study [version 1; peer review: 1 approved, 1 approved with reservations]

Arts & Culture
When:
May 9, 2026 · 5:14 AM
Source:
F1000Research

Background Chronic kidney disease (CKD) is a serious complication of type 2 diabetes (T2DM), particularly in low- and middle-income countries with limited access to early diagnosis. Predicting CKD risk using routine clinical data could enable earlier nephroprotective care. This study developed and internally validated a machine learning-based web application to predict incident CKD among T2DM patients in Indonesia’s national health insurance program (Prolanis). Methods A machine learning predict

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