Survival Regression Model for Predicting Chronic Kidney Disease

Abstract

Chronic kidney disease commonly known as end-stage kidney failure, describes the gradual loss of kidney function, which leads to dialysis or kidney transplant. This chronic disease has become a major cause of global morbidity and mortality.   In this article, the covariates which affect the outcome of the patients are estimated using logistic regression. The prime goal is to accurately predict the target class for each case in the data.