Research Article
Electronic Medical Record Entity Recognition via Machine Reading Comprehension and Biaffine
Table 4
The result for the entity recognition task (Precision, Recall, and F1).
| Methods | Evaluation | Entity categories | BODY | CHECK | DISEASE | SIGNS | TREATMENT | OVERALL |
| BiLSTM-CRF | P | 85.87 | 94.51 | 85.51 | 90.03 | 71.91 | 89.15 | R | 83.16 | 95.3 | 67.05 | 98.53 | 74.42 | 89.94 | F1 | 84.49 | 94.9 | 75.16 | 94.09 | 73.14 | 89.54 |
| BERT-BiLSTM-CRF | P | 87.82 | 89.50 | 91.11 | 89.40 | 63.16 | 86.43 | R | 85.16 | 93.83 | 73.21 | 97.92 | 69.23 | 88.32 | F1 | 86.47 | 91.61 | 81.19 | 93.47 | 66.06 | 87.36 |
| BERT-Softmax | P | 86.38 | 87.92 | 88.70 | 85.43 | 62.48 | 84.47 | R | 83.68 | 86.39 | 72.09 | 93.71 | 67.13 | 86.04 | F1 | 85.01 | 87.15 | 79.54 | 89.38 | 64.72 | 85.25 |
| BERT-MRC-Biaffine | P | 91.68 | 96.84 | 94.20 | 95.33 | 75.93 | 91.93 | R | 89.06 | 93.91 | 81.32 | 96.40 | 86.82 | 93.68 | F1 | 90.35 | 95.35 | 87.29 | 95.86 | 81.01 | 92.80 |
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