Machine learning predicts ESRD and mortality in CKD

A retrospective cohort study used machine learning to predict end-stage renal disease (ESRD) and mortality in patients with chronic kidney disease (CKD). The model aims to identify high-risk patients for better clinical risk stratification, addressing CKD's heterogeneous progression as a global health burden.

Machine learning predicts ESRD and mortality in CKD A retrospective cohort study applied machine learning to predict end-stage renal disease ESRD and mortality among patients with chronic kidney disease CKD . The study frames CKD as a global health burden with heterogeneous progression trajectories and uses predictive modeling to identify patients at elevated risk of ESRD and death. Scoring Rationale Applied clinical ML study addressing CKD outcome prediction, relevant to modelers and clinicians for risk stratification; solid domain-specific contribution with moderate impact. Practice with real Health & Insurance data 90 SQL & Python problems · 15 industry datasets 250 free problems · No credit card See all Health & Insurance problems /problems/datasets/health