Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis

Table 4

Results of NNs eliminating the lowest ranked features (%).

Without features	Accuracy
Without 1 (H_C) feature	77.743
Without 2 (H_C and H_B) features	78.518
Without 3 (without 2 features and cirrhosis) features	80.644
Without 4 (without 3 features and TD) features	80.920
Without 5 (without 4 features and hemoglobin) features	81.120
Without 6 (without 5 features and sex) features	81.141
Without 7 (without 6 features and CRF) feature	81.163
Without 8 (without 7 features and smoking) features	81.018
Without 9 (without 8 features and HDL) features	80.921
Without 10 (without 9 features and triglyceride) features	80.222
Without 11 (without 10 features and diabetes) features	79.522
Without 12 (without 11 features and BMI) features	79.209