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Reseach Article

Diagnosis of Heart Disease for Diabetic Patients using Naive Bayes Method

by G. Parthiban, A. Rajesh, S.K.Srivatsa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 3
Year of Publication: 2011
Authors: G. Parthiban, A. Rajesh, S.K.Srivatsa
10.5120/2933-3887

G. Parthiban, A. Rajesh, S.K.Srivatsa . Diagnosis of Heart Disease for Diabetic Patients using Naive Bayes Method. International Journal of Computer Applications. 24, 3 ( June 2011), 7-11. DOI=10.5120/2933-3887

@article{ 10.5120/2933-3887,
author = { G. Parthiban, A. Rajesh, S.K.Srivatsa },
title = { Diagnosis of Heart Disease for Diabetic Patients using Naive Bayes Method },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 3 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number3/2933-3887/ },
doi = { 10.5120/2933-3887 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:00.489019+05:30
%A G. Parthiban
%A A. Rajesh
%A S.K.Srivatsa
%T Diagnosis of Heart Disease for Diabetic Patients using Naive Bayes Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 3
%P 7-11
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of our paper is to predict the chances of diabetic patient getting heart disease. In this study, we are applying Naïve Bayes data mining classifier technique which produces an optimal prediction model using minimum training set. Data mining is the analysis step of the Knowledge Discovery in Databases process (KDD). Data mining involves use of techniques to find underlying structures and relationships in a large database. Diabetes is a set of related diseases in which body cannot regulate the amount of sugar specifically glucose (hyperglycemia) in the blood. The diagnosis of diseases is a vital role in medical field. Using diabetic’s diagnosis, the proposed system predicts attributes such as age, sex, blood pressure and blood sugar and the chances of a diabetic patient getting a heart disease.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Knowledge Discovery Data Mining Diabetes Heart disease Naïve Bayes Method