Advances, Systems and Applications
Table 2 Average macro accuracy and F1-score for disease prediction
Methods | Average macro (Top-1) | Average macro (Top-2) | Average macro (Top-3) | |||
|---|---|---|---|---|---|---|
| Â | Accuracy | F1-score | Accuracy | F1-score | Accuracy | F1-score |
TextCNN | 85.87 | 72.32 | 94.74 | 84.52 | 97.16 | 89.77 |
LSTM | 84.72 | 70.98 | 94.05 | 83.46 | 96.55 | 89.00 |
LEAM | 84.64 | 68.35 | 94.02 | 83.04 | 96.73 | 88.88 |
Transformer | 84.98 | 69.59 | 94.37 | 83.87 | 96.95 | 89.51 |
BERT-base | 86.47 | 73.36 | 95.04 | 85.29 | 97.32 | 89.62 |
BERT-wwm | 86.52 | 73.47 | 95.03 | 84.47 | 97.24 | 89.73 |
CHMBERT | 86.66 | 74.06 | 95.18 | 85.30 | 97.44 | 90.67 |