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Applications of Data Mining Techniques in Prediction of Heart Attacks Using Naive Bayes and Rule Based Classification Algorithm

Author(s):

S. Kavitha , JAMAL MOHAMMED COLLEGE, TRICHY; G. Ramya, JAMAL MOHAMMED COLLEGE, TRICHY

Keywords:

Rule based, Decision tree, Naive Bayes, Artificial Neural Network, data mining

Abstract

Knowledge discovery and data mining have found numerous applications in business and scientific domain. Valuable knowledge can be discovered from application of data mining techniques in healthcare system. In this study, we briefly examine the potential use of classification based data mining techniques such as Rule based, Decision tree, Naive Bayes and Artificial Neural Network to massive volume of healthcare data. This is an extension of naive Bayes to imprecise probabilities that aims at delivering robust classifications also when dealing with small or incomplete data sets. Discovery of hidden patterns and relationships often goes unexploited. Using medical profiles such as age, sex, blood pressure and blood sugar it can predict the likelihood of patients getting a heart disease.

Other Details

Paper ID: IJSRDV2I6265
Published in: Volume : 2, Issue : 6
Publication Date: 01/09/2014
Page(s): 717-719

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