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Table 7 Comparison results of NER on progress notes

From: A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records

  Bi-RNN model Our proposed model
Entity type Precision Recall F-measure Precision Recall F-measure
Disease 90.11 88.93 89.52 94.06 95.07 94.56
Symptom 87.67 88.335 88.00 94.50 90.79 92.61
Disease group 27.27 75.00 40.00 77.27 80.95 79.06
Treatment 71.06 77.80 74.28 88.15 87.19 87.67
Test 83.64 88.41 85.96 92.53 93.36 92.94
Macro average 71.95 83.69 75.55 89.31 89.47 89.37