A COMPARATIVE STUDY ON HEART DISEASE ANALYSIS USING CLASSIFICATION TECHNIQUES

Hariharan, K, Vigneshwar, W.S, Sivaramakrishnan, N and Subramaniyaswamy, V A COMPARATIVE STUDY ON HEART DISEASE ANALYSIS USING CLASSIFICATION TECHNIQUES. International Journal of Pure and Applied Mathematics, 2018, vol. 119, n. 12, pp. 13357-13366. [Journal article (Paginated)]

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English abstract

As it is modern era where people use computers more for work and other purposes physical activities are reduced. Due to work pressure they are not worrying about food habits. This results in introduction of junk food. These junk foods in turn results in many health issues. Major issue is heart disease. It is the major cause of casualty all over the world. Prediction of such heart disease is a tough task. But Countless mining approaches overcome this difficulty. Nowadays data mining techniques play’s an important role in many fields such as business application, stock market analysis, e-commerce, medical field and many more. Previously many techniques like Bayesian classification, decision tree and many more are employed for heart disease prediction. In this proposal we are going to do a comparative study on three algorithms.

Item type: Journal article (Paginated)
Keywords: heart disease, Support vector machine, decision tree, knn, Supervised Learning, data mining, classification, machine learning, data set
Subjects: B. Information use and sociology of information
B. Information use and sociology of information > BC. Information in society.
Depositing user: Raster Daster
Date deposited: 02 Aug 2018 07:36
Last modified: 02 Aug 2018 07:36
URI: http://hdl.handle.net/10760/33270

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