Research Article
Automated Tongue Feature Extraction for ZHENG Classification in Traditional Chinese Medicine
Table 16
Tongue classification between normal group and atrophic patients.
| Feature vector | Entire tongue | Middle tongue | AdaBoost | SVM | MLP | AdaBoost | SVM | MLP | -meas | CA | -meas | CA | -meas | CA | -meas | CA | -meas | CA | -meas | CA |
| | 0.733 | 75.52 | 0.803 | 80.21 | 0.781 | 79.17 | 0.754 | 77.08 | 0.770 | 78.13 | 0.699 | 70.83 | | 0.736 | 73.96 | 0.772 | 78.13 | 0.837 | 83.85 | 0.798 | 80.73 | 0.782 | 78.65 | 0.802 | 80.21 | | 0.726 | 73.96 | 0.754 | 77.08 | 0.751 | 75.52 | 0.726 | 75.52 | 0.749 | 74.48 | 0.753 | 75.52 | | 0.738 | 74.48 | 0.816 | 82.29 | 0.818 | 81.77 | 0.751 | 75.52 | 0.792 | 78.65 | 0.848 | 84.90 | | 0.761 | 77.08 | 0.787 | 79.69 | 0.799 | 80.21 | 0.772 | 78.13 | 0.798 | 80.21 | 0.791 | 79.69 |
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