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An Enhanced Study on Predicting Heart Diseases Using Datamining Techniques

G. Venugopal1 , K. Vinay2 , B. Yasaswi3 , G. Mohan Sai4 , G. Trilok Chandra Nithin5

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 199-203, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.199203

Online published on May 31, 2019

Copyright © G. Venugopal, K. Vinay, B. Yasaswi, G. Mohan Sai, G. Trilok Chandra Nithin . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: G. Venugopal, K. Vinay, B. Yasaswi, G. Mohan Sai, G. Trilok Chandra Nithin, “An Enhanced Study on Predicting Heart Diseases Using Datamining Techniques,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.199-203, 2019.

MLA Style Citation: G. Venugopal, K. Vinay, B. Yasaswi, G. Mohan Sai, G. Trilok Chandra Nithin "An Enhanced Study on Predicting Heart Diseases Using Datamining Techniques." International Journal of Computer Sciences and Engineering 7.5 (2019): 199-203.

APA Style Citation: G. Venugopal, K. Vinay, B. Yasaswi, G. Mohan Sai, G. Trilok Chandra Nithin, (2019). An Enhanced Study on Predicting Heart Diseases Using Datamining Techniques. International Journal of Computer Sciences and Engineering, 7(5), 199-203.

BibTex Style Citation:
@article{Venugopal_2019,
author = {G. Venugopal, K. Vinay, B. Yasaswi, G. Mohan Sai, G. Trilok Chandra Nithin},
title = {An Enhanced Study on Predicting Heart Diseases Using Datamining Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {199-203},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4222},
doi = {https://doi.org/10.26438/ijcse/v7i5.199203}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.199203}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4222
TI - An Enhanced Study on Predicting Heart Diseases Using Datamining Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - G. Venugopal, K. Vinay, B. Yasaswi, G. Mohan Sai, G. Trilok Chandra Nithin
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 199-203
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Data mining is a process of analyzing data from different perspective and gathering the knowledge from it. Heart disease and stroke prediction is a tough task in classifying and predicting the disease from the obesity, overweight, smoking affected persons. To control, we need an intelligent heart disease prediction system. To develop that system, medical terms such as sex, blood pressure, and cholesterol like 13 input parameters are used. To get more appropriate results, two more attributes i.e. obesity and smoking are used, as these attributes are considered as important attributes for heart disease[1]. The data mining classification techniques such as Neural Networks, Decision Trees, and Naive Bayes are used.

Key-Words / Index Term

Neural Networks, Decision trees, Naïve bayes, classification, prediction, data mining

References

[1] Chaitrali S. Dangare and Sulabha S. Apte, PhD, “Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques” published by International Journal of Computer Applications(0975-888), vol. 47,issue no. 10, June 2012.
[2] Frawley and G. Piatetsky -Shapiro, “Knowledge Discovery in Databases: An Overview”. Published by the AAAI Press/ The MIT Press, Menlo Park, C.A 1996.
[3] Sellappan Palaniappan, Rafiah Awang, "Intelligent Heart Disease Prediction System Using Data Mining Techniques", IJCSNS International Journal of Computer Science and Network Security, Vol.8 No.8, August 2008
[4] Niti Guru, Anil Dahiya, Navin Rajpal, "Decision Support System for Heart Disease Diagnosis Using Neural Network", Delhi Business Review, Vol. 8, No. 1 (January - June 2007).
[5] Heon Gyu Lee, Ki Yong Noh, Keun Ho Ryu, “Mining Biosignal Data: Coronary Artery Disease Diagnosis using Linear and Nonlinear Features of HRV,” LNAI 4819: Emerging Technologies in Knowledge Discovery and Data Mining, pp. 56-66, May 2007.
[6] Shantakumar B.Patil, Y.S.Kumaraswamy “Intelligent and Effective Heart Attack Prediction System Using Data Mining and Artificial Neural Network”. ISSN 1450-216X Vol.31 No.4 (2009), pp.642-656.
[7] Carlos Ordonez, "Improving Heart Disease Prediction Using Constrained Association Rules," Seminar Presentation at University of Tokyo, 2004.
[8] Kiyong Noh, Heon Gyu Lee, Ho-Sun Shon, Bum Ju Lee, and Keun Ho Ryu, "Associative Classification Approach for Diagnosing Cardiovascular Disease", Springer, Vol:345, pp: 721- 727, 2006.
[9] Franck Le Duff, Cristian Munteanb, Marc Cuggiaa, Philippe Mabob, "Predicting Survival Causes After Out of Hospital Cardiac Arrest using Data Mining Method", Studies in health technology and informatics, Vol. 107, No. Pt 2, pp. 1256-9, 2004.
[10]Clevelanddatabase: http://archive.ics.uci.edu/ml/datasets/Heart+Disease
[11] Dr. Yashpal Singh, Alok Singh chauhan “Neural Networks in data mining” Journal of Theoretical and Applied Information Technology , 2005 - 2009 JATIT.