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Table 2 Prediction result of FCNBLA and its baselines on the test set

From: Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions

Methods

Precisionmacro(%)

Recallmacro(%)

F ‐ scoremacro(%)

Accuracy (%)

FCNBLA

92.31

90.46

91.29

92.78

SVM-TFIDF

88.37

87.73

88.02

90.76

CNN

89.94

89.40

89.64

91.97

RCNN

91.21

89.97

90.54

92.51

BiLSTM

90.91

89.45

90.10

92.13

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BMC Bioinformatics

ISSN: 1471-2105

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