Classification Of Heart Disease Using Svm And ANN
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 9
Abstract
Classification of heart disease can be useful for the physicians if it is computerized for the purpose of fast diagnosis and accurate result. Predicting the existence of heart disease accurately can save patients life. The objective of this paper is to analyze the application of AI tools for classification and prediction of heart disease. The work includes the classification of heart disease using Support Vector Machine and Artificial Neural Network. Comparison is carried out among two methods on the basis of accuracy and training time. This paper presents a Medical decision support system for heart disease classification in a rational, objective, accurate and fast way. The dataset used is the Cleveland Heart Database taken from UCI learning data set repository. In the proposed model we classify the data into two classes using SMO algorithm in Support Vector machine and Artificial Neural Network (ANN).
Authors and Affiliations
Deepti Vadicherla, Sheetal Sonawane
Keywords
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