… The diagnosis of chronic kidney disease through history has … people and people with chronic
kidney disease, non-invasive … In our current work, we predict chronic kidney disease using …

… of prediction to be done which are prediction using all 24 features of the dataset and prediction
using the selected features after using … performs, a Naïve Bayes classifier will assemble …

… (J48), SVM, MLP, and Naive Bayes classifiers. In comparison to support vector machines
(SVM), multilayer perceptrons (MLP), and Naive Bayes classifiers, their experimental data …

… Next is the data partitioning stage, using k-fold cross-… model using a confusion matrix and
comparing the results. The stages of analyzing the CKD classification process in this research …

… random tree, decision table (DT), K-nearest neighbor (K-NN), J48, stochastic gradient
descent (SGD) and Naïve Bayes classifiers, and a prediction model was proposed based on …

… is analyzed for the prediction of severe kidney diseases. The … It presents a comparative study
of these methods. The … In the naïve Bayes classifier, the controlled variables are assumed to …

… Through this study, we aim to employ ML techniques for the prediction and diagnosis of
Chronic Kidney Disease. … The performances of ANN and Naive Bayes were compared using the …

… A comparative analysis is needed to identify an accurate … C4.5 classifier efficiently
predicted chronic kidney disease from … to the other classifiers like J48, Naïve Bayes, REP tree, …

… The main objective of the research paper is comparative study of NB classifier, DT J48, and
RF to analyze chronic kidney disease (CKD) patient’s data and to predict how many patients …

… The most relevant result presented in this study is the comparison of the classifiers with the
most-experienced nephrologist; however, the other comparisons improve the confidence in …