A Study on Prediction of Cardiovascular Victimization Data Processing Techniques
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2014 by IJCOT Journal | ||
| Volume - 4 Issue - 3 |
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| Year of Publication : 2014 | ||
| Authors : Dr.G.M.Nasira , Mrs.S.Radhimeenakshi. | ||
| DOI : 10.14445/22492593/IJCOT-V9P307 |
Citation
Dr.G.M.Nasira , Mrs.S.Radhimeenakshi. "A Study on Prediction of Cardiovascular Victimization Data Processing Techniques", International Journal of Computer & organization Trends (IJCOT), V4(3):96-99 May - June 2014, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract
Heart disease term is related to several medical conditions of heart. Heart disease is one of the major health problems in India. The medical conditions refer to the abnormal health conditions that affect the heart. This paper presents a literature review of various data mining techniques implemented in prediction of heart disease. The observations reveal that neural networks and decision tree has more performance than all other data mining techniques.
References
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Keywords
Heart disease, Artificial Neural Network, Decision Tree, Naïve Bayes, Neuro-fuzzy, Genetic Algorithm, Association Rules.