A Hybrid Classifier Based on Kernel Extreme Learning Machine for Heart Disease Prediction

Abstract

Data Mining is a process to extract the useful information from a huge data repository. It refers to mine the information from the large data set. Data mining technique is a one of the analytical tool to predict the heart disease. It is used to maintain the electronic data and it can reduce the manual task. Data mining is performed by continuous exploration of patterns and the methodical correlations between the patterns and the respective applications. On making usage of the authentic patterns, that was identified and applied the outcomes of the analysis to the fresh group of data is gathered. Fundamental motivation of data mining provides the prediction. Data mining provides the estimation from the patterns which are maximum utilized category of data mining. It can be employed to a lot of areas. newline