Heart Disease Prediction with Naïve Bayes Algorithm

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This coursework delves into heart disease prediction by leveraging data mining techniques, emphasizing the importance of prediction accuracy in healthcare. It explores classifiers for cardiac event prediction, detailing methodology including dataset analysis, feature selection, and classifier implementation. A comparison of classifier effectiveness highlights Naïve Bayes' performance. Conclusions summarize findings while discussing enhancements and future research directions to optimize...