1 Support in Heart Disease Prediction System using

SellappanPalaniappan, RafiahAwang “Intelligent Heart DiseasePrediction System
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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Mrs.G.Subbalakshmi (M.Tech), Mr. K. Ramesh M.Tech, Asst.Professor Mr. M.
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Computer Scienceand Engineering (IJCSE)2011.

7 JesminNahar,
TasadduqImama, Kevin S. Tickle, Yi-PingPhoebe Chen “Association rule mining to
detect factors whichcontribute to heart disease in males and females” Expert

Applications 40 (2013) 1086–1093.

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.

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.

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


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