Predicting coronary artery disease: a comparison between two data mining algorithms
Abstract
Cardiovascular diseases (CADs) are the first leading cause of death across the world. World Health Organization has estimated that morality rate caused by heart diseases will mount to 23 million cases by 2030. Hence, the use of data mining algorithms could be useful in predicting coronary artery diseases. Therefore, the present study aimed to compare the positive predictive value (PPV) of CAD using artificial neural network (ANN) and SVM...
Paper Details
Title
Predicting coronary artery disease: a comparison between two data mining algorithms
Published Date
Apr 29, 2019
Journal
Volume
19
Issue
1
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