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Prediction of Heart Disease using Multiple Linear ...

research work uses 11 attributes simulated on WEKA tool. Data mining algorithms used to develop model for heart disease diagnosis are J48, Naïve Bayes, REPTREE, CART, and Bayes Net and shows accuracy 99.0741%, 97.222%, 99.0741%, 99.0741% and98.148% respectively .

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  Data, Mining, Wake, Data mining

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