Abstract
Coronary heart disease included a group of cardiovascular, and it is a leading cause of death in low and middle-income countries. Risk factors for coronary heart disease are divided into two, namely primary and secondary risk factors. The need to identify characteristics or risk factors in heart disease patients by making the classification model. The modeling of heart disease classification to know how the system can able to reach the best prediction accuracy. Fisher's Discriminant Ratio is one of the methods for feature selection, which is used to get high discriminant features. While Backpropagation is one of the classification models to recognize patterns in heart disease patients. The experiment results showed that the accuracy of the classification model using 13 original features reached 92%. By reducing the features based on the score of the feature selection, then the lowest feature was removed from original features and left there were 12 features involved in the classification model which the accuracy increased to 93%. Furthermore, the results of determining the threshold (accuracy does not decrease continuously) and consider the effect of eliminating the lowest features that are considered quite fluctuating on accuracy. The accuracy reached 90% by eliminating the five lowest features and left eight existing features.
Highlights
Coronary Heart Disease (CHD) is a heart disease that is a leading cause of death in low and middle-income countries such as Indonesia
Result and Discussion The experiment result of this research reported about the normalization of data distribution, feature selection using Fisher's Discriminant Ratio, which was represented in feature ranking, classification for building model using Backpropagation, and evaluation using confusion matrix
3.5 Evaluation of Classification Accuracy To know the performance of the classification model based on the Backpropagation algorithm, it needs to use the confusion matrix
Summary
Coronary Heart Disease (CHD) is a heart disease that is a leading cause of death in low and middle-income countries such as Indonesia. Based on death cases caused by cardiovascular disease reached 17.1 million people per year [1]. Cardiovascular included coronary heart disease and stroke, which ranks first in chronic diseases in the world [2]. The second factor causing coronary heart disease is antioxidants [3]. Antioxidants are compounding that function to reduce the formation of free radioactive obtained from food intake. The main function of vitamin E in the body is as a natural antioxidant that plays a role in capturing and inhibiting the process of lipid oxidation in the body. Vitamin E will provide a hydrogen atom from the OH group into radical lipid peroxide, which is radical. Vitamin E is formed stable and not damaged and able to stop the free radical sequence with fat [4]
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