Skip to main content

Table 5 Evaluation metrics obtained with LSTM-LSTM-CRF with EMA model for each named entity

From: De-identifying Spanish medical texts - named entity recognition applied to radiology reports

 

Training set

Validation set

Test set

MEDDOCAN

 

Precision

Recall

F1

Precision

Recall

F1

Precision

Recall

F1

Precision

Recall

F1

CAB

98.29

97.94

98.11

96.03

94.92

95.47

83.69

75.76

79.53

13.33

33.33

19.05

DIR

100

100

100

93.49

95.00

94.22

90.91

90.91

90.91

0.00

0.00

0.00

FECHA

99.74

99.64

99.69

98.93

99.20

99.07

96.65

94.83

95.74

74.95

86.34

80.20

INST

98.96

98.96

98.96

95.73

95.72

95.73

96.08

96.08

96.08

11.11

0.67

1.26

LOC

100

89.45

94.42

94.35

87.88

90.99

92.58

55.55

69.41

0.00

0.00

0.00

NAME

98.99

99.15

99.07

98.97

98.24

98.60

94.78

95.13

94.95

61.62

77.39

68.59

NUM

99.39

99.91

99.65

99.34

98.69

99.01

96.65

97.66

97.15

56.93

68.28

62.05

 

99.05

98.96

99.01

98.00

97.34

97.67

94.20

91.10

92.62

62.35

56.11

59.07