ArticleBMC nephrology2021
The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study.
Article in BMC nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Applications of Machine Learning for Early Diagnosis and Prognosis of Chronic Kidney Disease: Current Evidence.Diagnostics (Basel, Switzerland) · 2026Review
- Application of creatinine-based eGFR equations in Chinese septuagenarians and octogenarians.International urology and nephrology · 2024Review
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6 authors.
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Abstract
objectiveTo assess the clinical practicability of the ensemble learning model established by Liu et al. in estimating glomerular filtration rate (GFR) and validate whether it is a better model than the Asian modified Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in a cohort of Chinese chronic kidney disease (CKD) patients in an external validation study.
methodsAccording to the ensemble learning model and the Asian modified CKD-EPI equation, we calculated estimated GFR
resultsA total of 158 Chinese CKD patients were included in our external validation study. The GFR
conclusionsOur study showed that the ensemble learning model cannot replace the Asian modified CKD-EPI equation for the first choice for GFR estimation in overall Chinese CKD patients.
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