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Table 3 Six-way side-by-side automatic coding evaluation

From: Automatic RadLex coding of Chinese structured radiology reports based on text similarity ensemble

Method

Precision (%)

Recall (%)

F1-score (%)

Levenshtein distance

70.91

50.93

59.28

Jaccard

56.64

53.28

58.05

Word2vec CBOW

81.75

81.16

84.18

WordNet Wup

86.78

84.59

85.67

Levenshtein distance + Jaccard

66.90

50.85

57.78

Levenshtein distance + Word2vec CBOW

72.61

64.18

68.14

Levenshtein distance + WordNet Wup

78.52

67.38

72.52

Jaccard + Word2vec CBOW

68.29

66.47

67.37

Jaccard + WordNet Wup

70.22

67.72

68.95

Word2vec CBOW + WordNet Wup

83.95

82.41

83.17

Levenshtein distance + Jaccard + Word2vec CBOW

71.81

62.93

67.08

Levenshtein distance + Jaccard + WordNet Wup

73.17

71.43

72.29

Levenshtein distance + Word2vec CBOW + WordNet Wup

84.21

77.49

80.71

Jaccard + Word2vec CBOW + WordNet Wup

72.83

73.92

73.37

MLP weighing

91.78

88.59

90.15