Heart Disease Prediction Using Data Mining Classification
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 2
Abstract
In this paper we present an analysis of the Heart disease for male patients using data mining techniques. The preprocessed data set consists of 210 records, which have all the available 8 fields from the database. We have investigated three data mining techniques: the Naïve Bayes, Artificial neural network, and the J48 decision tree algorithms. Our Analysis Shows that of these three classification models Naïve Bayes predicts heart disease with higher Accuarcy.
Authors and Affiliations
K. Gomathi, Dr. Shanmugapriyaa
Keywords
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