A Survey to Identify an Efficient Classification Algorithm for Heart Disease Prediction

Manikandan, G, Aravind, Vasudev and Anitha, Balasubramanian A Survey to Identify an Efficient Classification Algorithm for Heart Disease Prediction. International Journal of Pure and Applied Mathematics, 2018, vol. 119, n. 12, pp. 13337-13345. [Journal article (Paginated)]

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English abstract

Classification is one of the prominent data mining techniques. The objective of the classification algorithms is to place the data in the appropriate class. Data mining plays a vital role in medical diagnosis. The aim of this paper is to identify an efficient classification algorithm for cardiovascular disease prediction. The efficiency of each classification algorithm is expressed using two parameters namely accuracy and Root Mean Square Error (RMSE). From our experimental analysis, we infer that iterative classifier optimizer algorithm results in higher accuracy.

Item type: Journal article (Paginated)
Keywords: classification, data mining, cardiovascular disease, iterative classifier optimizer, accuracy, root mean square error
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 07:28
Last modified: 02 Aug 2018 07:28
URI: http://hdl.handle.net/10760/33255

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