A Survey of Heart Disease Prediction Using Classification Techniques

Authors(2) :-C. Sowmiya, Dr. P. Sumitra

Heart disease is a number one problem for in the world. Every year more than people death for heart disease. This disease for attack not only India all country people affected by heart disease. Some of the people occur deaths for during the first heart attack. Now day’s computer field is very high and particular work is finished. So used for medicine area diagnosis. Every year Researchers have been applied data mining techniques and algorithms for diagnosing heart disease. Heart is a very important part of each and every people. Over the past few years more than people deaths, reason from disease is easily attack for patients. Not proper treatment for many hospitals. Mostly affected heart attack for men’s. But Women are rare for affected heart attack.

Authors and Affiliations

C. Sowmiya
Ph.D Research Scholar, Department of Computer Science, Vivekananda College of Arts and Sciences for Women (Autonomous), Elayampalayam
Dr. P. Sumitra
Professor, Department of Computer Science,Vivekananda College of Arts and Sciences for Women (Autonomous), Elayampalayam

Data Mining, Heart Disease, Neural Network, K-Nearest Neighbor Algorithms, Support Vector Machine (SVM), Naive Bayes Algorithm, Decision Tree Method.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 20-22
Manuscript Number : ICASCT2504
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

C. Sowmiya, Dr. P. Sumitra, " A Survey of Heart Disease Prediction Using Classification Techniques, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 5, pp.20-22, May-June-2017. Available at doi : 10.32628/ICASCT2504
Journal URL : http://ijsrst.com/ICASCT2504

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