Research Article
A Novel Classification Method for Syndrome Differentiation of Patients with AIDS
Table 3
Comparative results of existing syndrome differentiation methods.
| AIDS syndromes | Syndrome differentiation methods | k-means | Naïve Bayes | SVM | MRS-MIL | Precision | Recall | Precision | Recall | Precision | Recall | Precision | Recall |
| C1 | 0.5133 | 0.4435 | 0.6236 | 0.5600 | 0.6255 | 0.5529 | 0.8327 | 0.7782 | C2 | 0.5089 | 0.4512 | 0.5592 | 0.5029 | 0.5913 | 0.4639 | 0.8526 | 0.8098 | C3 | 0.5001 | 0.4359 | 0.5208 | 0.4756 | 0.5347 | 0.4378 | 0.7771 | 0.7013 | C4 | 0.4642 | 0.3815 | 0.4714 | 0.4011 | 0.4923 | 0.3874 | 0.6303 | 0.5620 | C5 | 0.4912 | 0.4209 | 0.5108 | 0.4398 | 0.5488 | 0.4711 | 0.7371 | 0.6927 | C6 | 0.5024 | 0.4711 | 0.5988 | 0.5219 | 0.5835 | 0.4826 | 0.8012 | 0.7384 | C7 | 0.4920 | 0.4456 | 0.5678 | 0.5333 | 0.6011 | 0.4465 | 0.7843 | 0.6952 |
| Avg. | 0.4960 | 0.4357 | 0.5503 | 0.4907 | 0.5682 | 0.4632 | 0.7736 | 0.7111 |
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