… Classification task is applied very frequently in medical decision making. … a classification
model for Chronic Kidney Disease (CKD) based on a number of supervised learning algorithms. …

… for predicting diseases namely classification, clustering, … predict kidney diseases using
classification algorithms such … best classification algorithm based on the classification accuracy …

… Four classification algorithms applied in this study were … classification algorithms achieved
promising performance. The random forest algorithm outperformed all other applied algorithms…

… It is understood that kidney disease caused by diabetes can be diagnosed. We used
machine learning algorithms to evaluate the prediction of the kidney disease. The algorithms we …

… different classification algorithms for the best classification of … different classification
algorithms using classification subset … ) per classifier to increase classification accuracy. Table 1 …

… ) algorithms have been compared, and our findings show that the PNN algorithm provides
better classification and … performance for determining severity stage in chronic kidney disease. …

… to the classification of patients suffering from chronic and non-chronic kidney disease will
be … Accurate diagnostics made by the classification algorithm will be a great help for medical …

… of learning algorithms. In this research, we have preferred real data of chronic kidney disease
which is collected from Appolo Hospitals, Tamil Nadu, India, to predict kidney disease of …

… diseases recently. With the same motivation, the aim of this study is to predict the various
stages of CKD using machine learning classification algorithms … and J48 algorithms to obtain a …

… In the research, a comparative study was performed using some sampling algorithms based
… performance of classification algorithms can be improved by using the sampling algorithms. …