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A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods
In this context, five data mining classifying algorithms, with large datasets, have been utilized to assess and analyze the risk factors statistically related to heart diseases in order to compare the performance of the implemented classifiers (e. g., Na\"ive Bayes, Decision Tree, Discriminant, Random Forest, and Support Vector Machine).
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