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Table 6 (RNN+CRF) papers on de-identification of medical free text

From: Survey on RNN and CRF models for de-identification of medical free text

Author

F-measurea

Precisiona

Recalla

Kajiyama et al. 2018 [39]

80.61

Not provided

Not provided

Kim et al. 2018 [40]

95.73

97.04

94.45

Liu et al. 2017 [43]

96.98

97.94

96.04

Trienes et al. 2020 [47]

91.20

95.9

86.9

Yang et al. 2019 [48]

96.46

97.97

94.98

  1. aAll scores shown are percentages