Research Article
Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis
Table 2
Characteristics (continuous variable: mean; categorical variable: count).
| Feature | Low risk (3031 people) | High risk (1115 people) | value |
| Age | 48.600 | 63.110 | 0.326 | Sex | | | 0.893 | Male | 1301 | 476 | | Female | 1739 | 639 | | BMI | 23.594 | 25.004 | 0.001 | To_chole | 191.738 | 188.898 | 0.024 | HDL | 52.642 | 49.671 | 0.001 | SBP | 115.583 | 128.210 | 0.001 | DBP | 75.610 | 76.397 | 0.035 | Triglyceride | 131.570 | 160.074 | 0.001 | Hemoglobin | 14.057 | 13.989 | 0.206 | TD | | | 0.370 | No | 2981 | 1092 | | Yes | 50 | 23 | | CRF | | | 0.002 | No | 3027 | 1092 | | Yes | 4 | 23 | | H_B | | | 0.933 | No | 3010 | 1107 | | Yes | 21 | 8 | | H_C | | | 0.801 | No | 3029 | 1114 | | Yes | 2 | 1 | | Cirrhosis | | | 0.349 | No | 3025 | 1111 | | Yes | 6 | 4 | | Smoking | | | 0.001 | No | 2350 | 972 | | Yes | 681 | 143 | | Diabetes | | | 0.001 | No | 2167 | 458 | | Impaired fasting glucose | 671 | 323 | | Diabetes | 193 | 334 | |
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