Prediction of Heart Disease using Multiple Linear Regression Model

  K Polaraju,  D.Durga Prasad

According to the American Heart association, heart disease kills one person every 40 seconds. In the field of Medical Science, Heart disease predation is one of the growing areas for prediction. Huge amount of patient related data is maintained on daily basis. The stored data can be used as a source of predicting the chance of future diseases that makes the data mining techniques to play a central role for the extraction of knowledge and prediction. Varieties of data mining techniques for the prediction of heart diseases have been proposed with the varying level of success and accuracy. However, accuracy of each technique is based on the number of attributes under consideration and data mining tools or techniques used. In this paper, Multiple Linear Regression Analysis has been performed to accurately predict the chance of heart disease.

Keywords- Data Mining; Health Care; Heart Disease; Linear Regression;

Unique Identification Number - IJEDR1704226
Page Number(s) - 1419-1425
Pubished in - Volume 5 | Issue 4 | December 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  K Polaraju,  D.Durga Prasad,   "Prediction of Heart Disease using Multiple Linear Regression Model", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.1419-1425, December 2017, Available at :http://www.ijedr.org/papers/IJEDR1704226.pdf