Research Article
Research on Diagnosis Prediction of Traditional Chinese Medicine Diseases Based on Improved Bayesian Combination Model
Table 3
Accuracy of 8 algorithms.
| | Calculation method | Calculation formula | Accuracy (%) |
| Main symptom weight (for the first 3 symptoms, if the disease has cooccurrence, multiply it by the weight coefficient) | Add prior probability | (for the first 3 symptoms, if the disease has cooccurrence, multiply it by the weight coefficient) | 73 | No prior probability | | 69 | Log function form | | 77 | Equal probability | | 84.2 |
| Main symptoms are not weighted | Add prior probability | | 73 | No prior probability | | 67 | Log function form | | 76 | Equal probability | | 83 |
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