Research Article
Automated Tongue Feature Extraction for ZHENG Classification in Traditional Chinese Medicine
Table 17
Comparison between using selected features versus Whole feature set for classification.
| Classification experiment type | Feature selection | Whole feature | -measure | Accuracy | -measure | Accuracy |
| Coating (yellow versus white) | 0.764 | 77.10% | 0.801 | 80.37% | ZHENG (Hot versus Cold) | 0.642 | 65.00% | 0.763 | 76.50% | HP Bacteria (positive versus negative) | 0.636 | 72.38% | 0.713 | 71.97% | Gastritis patients (superficial versus atrophic) | 0.656 | 68.42% | 0.702 | 71.05% | Cold ZHENG patients (superficial versus atrophic) | 0.750 | 75.00% | 0.761 | 76.67% | Hot ZHENG patients (superficial versus atrophic) | 0.776 | 77.98% | 0.845 | 84.40% | Superficial Patients (Hot versus Cold ZHENG) | 0.807 | 80.65% | 0.839 | 83.87% | Atrophic patients (Hot versus Cold ZHENG) | 0.782 | 78.50% | 0.734 | 73.83% | Normal tongue versus tongue with coating | 0.833 | 85.88% | 0.861 | 86.26% | Normal group versus ZHENG patients | 0.834 | 84.68% | 0.857 | 85.89% | Normal group versus Hot ZHENG | 0.808 | 81.11% | 0.828 | 82.22% | Normal group versus Cold ZHENG | 0.750 | 75.00% | 0.785 | 78.45% | Normal group versus superficial patients | 0.765 | 76.52% | 0.811 | 81.06% | Normal group versus atrophic patients | 0.762 | 78.13% | 0.837 | 83.85% |
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