Classification of cardiac disorders based on electrocardiogram data using a decision tree classification approach with the C45 algorithm

<p>The limitations of medical personnel, especially heart disease, cause difficulties in diagnosing disorders, so disorders is not easy, it takes the ability and experience a cardiologist who has expertise to be able accurately diagnose disorders. Several studies field computing have been carried out cardiac abnormalities patients. This study was conducted test results classification using electrocardiogram record data with C.45 decision tree approach. The showed that defects obtained mean squared error (MSE) value 0.24, root (RMSE) 0.49, an accuracy 75.33% C4.5 algorithm.</p>