Chronic Kidney Disease Prediction by using Naive Bayes

Abstract

Abstract: Chronic kidney disease CKD is a chronic kidney problem that affects the human kidneys and causes it to not work properly or causes complete kidney failure, leads to dialysis or causes other related diseases and reduces the quality of life symptoms of this disease cannot be identified in the preliminary stage, only very few people are aware of this disease and can predict symptoms at an early stage, an earlier CKD predictor model should be available improved with higher prediction accuracy and precision, hence the need for a decision support system that helps nephrologists in times of emergency therefore, in this research, a naive Bayesian classifier is used for classification along with Hierarchy based selection nb cb h nb classifier works efficiently with huge datasets and reduces computational complexity speed of prediction and disease severity analysis with nbare extremely higher