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Comparative Analysis of ID3 and Naïve Bayes for Heart Disease Prediction

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Syed Ahmed Yasin, Nikhil Kumar B.S., Ravindra P. Bachate

Nikhil Kumar B S Syed Ahmed Yasin and Ravindra P Bachate. Comparative Analysis of ID3 and Naïve Bayes for Heart Disease Prediction. International Journal of Computer Applications 142(5):17-19, May 2016. BibTeX

	author = {Syed Ahmed Yasin, Nikhil Kumar B.S. and Ravindra P. Bachate},
	title = {Comparative Analysis of ID3 and Naïve Bayes for Heart Disease Prediction},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2016},
	volume = {142},
	number = {5},
	month = {May},
	year = {2016},
	issn = {0975-8887},
	pages = {17-19},
	numpages = {3},
	url = {},
	doi = {10.5120/ijca2016909790},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Improper working of blood vessels within heart causes heart disease .Hospitals are using medical application software for their day to day operation for billing and generation of simple satictcs.Multispecilaity hospitals are using expert system but they have some limitations. Heart dieses predication is difficult task because we need lot of patient historical data, medical history and it also depend on knowledge and experience of doctors. In this paper decision support systems made by two data mining techniques decision tree and naive bayes. Performance analysis is performed on both the methods.


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Heart Disease, Expert System, Decision Support System, Data Mining, Naive Bayes, and Decision Tree