From: An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records
CRF
BiLSTM-CRF
BiLSTM-Att-CRF
Anatomical Part
80.88%
83.55%
84.24%
Symptom Description
86.06%
84.22%
87.70%
Independent Symptom
83.33%
88.78%
89.61%
Drug
69.25%
71.74%
75.31%
Operation
64.90%
80.05%
81.95%