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A Hybrid Approach for Heart Disease Prediction Using Artificial Neural Network and K-means . In International Journal of Pure and Applied Mathematics. 118 , 8 (2018), 103 -- 110 . A. Malav, K. Kadam. 2018. A Hybrid Approach for Heart Disease Prediction Using Artificial Neural Network and K-means. In International Journal of Pure and Applied Mathematics. 118, 8 (2018), 103--10.","journal-title":"International Journal of Pure and Applied Mathematics."},{"key":"e_1_3_2_1_45_1","first-page":"290","article-title":"Prediction system for heart disease using Nave Bayes","volume":"3","author":"Pattekari S. A.","year":"2012","unstructured":"S. A. Pattekari , and A. Parveen . 2012 . Prediction system for heart disease using Nave Bayes . In International Journal of Advanced Computer and Mathematical Sciences. 3 , 3 (2012), 290 -- 294 . S. A. Pattekari, and A. Parveen. 2012. Prediction system for heart disease using Nave Bayes. 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