Healthc Inform Res.  2015 Jul;21(3):167-174. 10.4258/hir.2015.21.3.167.

Data-Mining-Based Coronary Heart Disease Risk Prediction Model Using Fuzzy Logic and Decision Tree

• Kim J
• Lee J
• Lee Y

• KMID: 2125185
• DOI: http://doi.org/10.4258/hir.2015.21.3.167

Abstract

OBJECTIVES
The importance of the prediction of coronary heart disease (CHD) has been recognized in Korea; however, few studies have been conducted in this area. Therefore, it is necessary to develop a method for the prediction and classification of CHD in Koreans.
METHODS
A model for CHD prediction must be designed according to rule-based guidelines. In this study, a fuzzy logic and decision tree (classification and regression tree [CART])-driven CHD prediction model was developed for Koreans. Datasets derived from the Korean National Health and Nutrition Examination Survey VI (KNHANES-VI) were utilized to generate the proposed model.
RESULTS
The rules were generated using a decision tree technique, and fuzzy logic was applied to overcome problems associated with uncertainty in CHD prediction.
CONCLUSIONS
The accuracy and receiver operating characteristic (ROC) curve values of the propose systems were 69.51% and 0.594, proving that the proposed methods were more efficient than other models.

Keyword

Heart Disease; Decision Tree; Fuzzy Logic; KNHANES; Data Mining

MeSH Terms

Classification
Coronary Disease*
Data Mining
Dataset
Decision Trees*
Fuzzy Logic*
Heart Diseases
Korea
Nutrition Surveys
ROC Curve
Uncertainty

Figure

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  Figure 1 Data selection. KNHANES-VI: Korean National Health and Nutrition Examination Survey VI.

• 

  Figure 2 Coronary heart disease (CHD) risk prediction model. KNHANES-VI: Korean National Health and Nutrition Examination Survey VI, FRS: Framingham risk score, CART: classification and regression tree.

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  Figure 3 Fuzzy inference model. COG: center of gravity.

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  Figure 4 Fuzzy membership function. HDL: high-density lipoprotein, LDL: low-density lipoprotein.

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  Figure 5 Experimental environment. KNHANES-VI: Korean National Health and Nutrition Examination Survey VI, ROC: receiver operating characteristic.

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