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Table 4 Performance of an i2b2-2014 model with custom embedding tested on 4 different datasets

From: Customization scenarios for de-identification of clinical notes

Test on

PHI type

Embedding

GloVe

embed-mimic

Matching embedding

physionet

All

76.2/61.3/67.9

81.8/64.1/71.8

76.9/62.4/68.9 - embed-mimic-nursing

physionet

Name

92.9/73.1/81.8

95.5/81.8/88.1

91.0/73.4/81.3 - embed-mimic-nursing

mimic-radiology

Name

92.9/85.7/89.1

97.2/85.9/91

92.0/87.2/89.4 - embed-mimic-radiology

mimic-discharge

Name

92.5/85.4/88.8

93.4/89.8/91.6

92.1/86.3/89.1 - embed-mimic-discharge

mimic-echo

Name

95.5/61.4/74.7

98.7/64.4/77.3

too small to build embedding