Predict chronic kidney disease using data mining algorithms in hadoop

This paper presents the prediction of chronic kidney disease using data mining classifiers. Now a days, chronic diseases are escalating day by day and play a paramount role in an individual's life. To elicitate the hidden information about chronic disease from a given dataset, data mining technology is used to make decisions. Big data is another area of research used for the storage and processing of voluminous data which is structured, unstructured and semi-structured. In this paper, to predict the chronic kidney disease, two data mining classifiers are used. KNN (K-Nearest Neighbor) and SVM (Support Vector Machine). These approaches provide the following information: i. Accuracy ii. Error.

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