Comparing performance of data mining algorithms in prediction heart diseses
Sutikno T., Kalhori S.R.N., Subroto I.M.I., Abdar M., Arji G.
Abstract
Heart diseases are among the nation's leading couse of mortality and moribidity. Data mining teqniques can predict the likelihood of patients getting a heart disease. The purpose of this study is comparison of different data mining algorithm on prediction of heart diseases. This work applied and compared data mining techniques to predict the risk of heart diseases.After feature analysis, models by six algorithms including decision tree, neural network, support vector machine and k-nearest neighborhood developed and validated. C5.0 Decision tree has been able to build a model with greatest accuracy 93.02%, KNN, SVM, Neural network have been 88.37%, 86.05% and 80.23% respectively. Produced results of decision tree can be simply interpretable and applicable; their rules can be understood easily by different clinical practitioner.
A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS
Gunes S., Polat K.
Study and development of nevel feature selection frmework for heart disease preciction
John Peter T., Somasundaram K.
Diagnosing coronary artery disease via data mining algorithms by considering laboratory and echocardiography features
Fariba A., Gh A., Hoda M., Jafar H., Kh F., Reihane B., Roohallah A., Zahra A.
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Aditya M., Himanshu A., Pankaj K., Prince K.
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Chinna Rao M., Ramesh K., Subbalakshmi G.
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Lam H.K., Leung F.H.F., Ling S.H., Tam P.K.S.
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Leng G., McGinnity T.M., McGinnity T.M., Prasad G., Prasad G.
Sunardi, Umar R., Ardhiansyah M.N.
Jurnal Resti
Boutayeb A., Lamlili E. N. Y.
Industrial and Applied Mathematics
Jena S., Chormunge S.
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Srinivas K., Kavitha Rani B., Mogili R., Ramasubba Reddy B.
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Herianto H., Wiharto, Kusnanto H.
International Journal of Electrical and Computer Engineering
Harsemadi I.G., Sudarma M.
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Yoo S.G., Ruiz C., Tello I.
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Herianto H., Wiharto W., Kusnanto H.
Indonesian Journal of Electrical Engineering and Computer Science
Herianto H., Wiharto W., Kusnanto H.
International Journal of Electrical and Computer Engineering
Surendar S., Elangovan M.
Indonesian Journal of Electrical Engineering and Computer Science
