Abstract
An accurate prediction of glomerular filtration rate (GFR) is extremely important to classify and define chronic kidney disease stages. The estimation of GFR is based on equations derived from regression models, mostly common are CKD-EPI, MDRD and Schwartz. The aim is to evaluate the performance of machine learning models compared to the standard equations to predict the measured glomerul…