Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS.

ABSTRACT: Chronic kidney disease is a persistent ailment marked by the gradual decline of kidney function. Its classification primarily relies on the estimated glomerular filtration rate and the existence of kidney damage. The kidney disease improving global outcomes organization has established a widely accepted system for categorizing chronic kidney disease. explainable artificial intelligence for classification involves creating machine learning models that not only accurately predict outcomes but also offer clear and interpretable explanations for their decisions. Traditional machine learning models often pose difficulties in comprehending the intricate processes behind specific classification choices due to their intricate and obscure nature. In this study, an explainable artificial intelligenc

SUBMITTER: Elshewey AM 

PROVIDER: S-EPMC12098988 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature