Comparative Analysis of Heart Disease Prediction

International Journal of Emerging Technology and Innovative Engineering, Volume 5, Issue 5, May 2019

5 Pages Posted: 22 Apr 2019

See all articles by Nageswari S

Nageswari S

Bharath Niketan Engineering College

Divya P

CMS College of Engineering and Technology (CMSCET)

Pallavi M Goel Dr

Galgotias University

Date Written: April 19, 2019

Abstract

Data mining (sometimes called knowledge discovering) it is the process of analyzing data from different perspective and summarizing it into useful information. Data mining techniques are used in the field of medicine for various purposes. This technique is mainly used for predicting the disease from the data set. In this paper we are going to combine the results of various papers to analyze the best efficient rate of the heart disease. The Data set of various heart patients are used for this research work. The various data mining techniques used for this survey paper are classification, clustering, fuzzy system and association rules to predict the heart disease. By using data mining techniques, in medical field it takes short time for predicting and detection of disease with more accuracy.

Keywords: Datamining, Prediction, Classification, Accuracy, Clustering

Suggested Citation

S, Nageswari and P, Divya and Dr, Pallavi M Goel, Comparative Analysis of Heart Disease Prediction (April 19, 2019). International Journal of Emerging Technology and Innovative Engineering, Volume 5, Issue 5, May 2019 . Available at SSRN: https://ssrn.com/abstract=3375195

Nageswari S (Contact Author)

Bharath Niketan Engineering College ( email )

Divya P

CMS College of Engineering and Technology (CMSCET) ( email )

Coimbatore, Tamil Nadu 641032
India

Pallavi M Goel Dr

Galgotias University ( email )

Plot No.2, Sector 17-A
Yamuna Expressway
Greater Noida, Uttar Pradesh 201306
India

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