Skip to main content

Table 6 Comparison results of NER on discharge summaries

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 82.82 78.02 80.34 84.11 84.70 84.40
Symptom 80.26 80.11 80.19 88.08 84.01 86.00
Disease group 37.50 100 54.54 43.75 82.35 57.14
Treatment 68.89 78.58 73.41 73.91 82.06 77.77
Test 82.99 86.43 84.68 89.23 87.99 88.61
Macro average 70.91 84.67 74.63 75.82 84.22 78.79