1 Support in Heart Disease Prediction System using

1
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Using Data Mining Techniques”Department ofInformation Technology Malaysia
University of Science andTechnology Block C, Kelana Square, Jalan SS7/26 Kelana
Jaya,47301 Petaling Jaya, Selangor, Malaysia .

2 “CSV File
Reading and Writing” (http:/ / docs. python. org/ library/csv. html). .
Retrieved July 24, 2011. “is no “CSV standard””

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3 Y.
Shafranovich. “Common Format and MIME Type for Comma-Separated Values
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4 home.deib.polimi.it/matteucc/Clustering/tutorial_html/kmeans.html”A
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5 Shadab Adam
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6
Mrs.G.Subbalakshmi (M.Tech), Mr. K. Ramesh M.Tech, Asst.Professor Mr. M.
ChinnaRaoM.Tech,(Ph.D.) Asst. Professor,”Decision Support in Heart Disease
Prediction System using Naïve Bayes” G.Subbalakshmi et al. / Indian Journal of
Computer Scienceand Engineering (IJCSE)2011.

7 JesminNahar,
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detect factors whichcontribute to heart disease in males and females” Expert
Systems

with
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8 Oleg Yu.
Atkov (MD, PhD), Svetlana G. Gorokhova (MD, PhD),Alexandr G. Sboev (PhD),
Eduard V. Generozov (PhD), Elena V.Muraseyeva (MD, PhD), Svetlana Y.
Moroshkina,Nadezhda N.Cherniy “Coronary heart disease diagnosis by artificial
neuralnetworks including genetic polymorphisms and clinical parameters”Journal
of Cardiology (2012) 59, 190—194.

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ShantakumarB.PatilY.S.Kumaraswamy “Intelligent and EffectiveHeart Attack
Prediction System Using Data Mining and ArtificialNeural Network” European
Journal of Scientific Research ISSN1450-216X Vol.31 No.4 (2009), pp.642-656.

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Dr. Durairaj. M2 and Persia. “An Empirical Study onapplying Data Mining
Techniques for the Analysis and Prediction ofHeart Disease” 2013.

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