An Improved Ensemble-Based Cardiovascular Disease Detection System with Chi-Square Feature Selection
Ayad E. Korial,
Ivan Isho Gorial,
Amjad J. Humaidi
Abstract:Cardiovascular disease (CVD) is a leading cause of death globally; therefore, early detection of CVD is crucial. Many intelligent technologies, including deep learning and machine learning (ML), are being integrated into healthcare systems for disease prediction. This paper uses a voting ensemble ML with chi-square feature selection to detect CVD early. Our approach involved applying multiple ML classifiers, including naïve Bayes, random forest, logistic regression (LR), and k-nearest neighbor. These classifie… Show more
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