A Predictive Classifier Studying Behaviour on Chronic Kidney Disease

Abstract

The worldwide population of 10% is influenced on chronic kidney disease. Every year millions die because of major risk factors for kidney disease includes diabetes, high blood pressure, and family history of kidney failure [1]. The medical data has huge amount of patient’s information having missing values. Initially, the chronic kidney disease dataset has to be preprocessed for reducing the impurities in the data. This is done by K-NN for imputing missing values. In this paper, t-test statistical method is applied for analyzing behaviour of medical dataset using the SVM classifier.

Experiments are conducted based on medical dataset for Chronic kidney disease. The results analyzed the behaviour of chronic kidney disease on SVM classifier.