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Table 3 Detailed results for each privacy type in MedNLP-1 (De-identification task)

From: De-identifying free text of Japanese electronic health records

  <a > age <x > sex <t > time <h > hospital name
  P R F P R F P R F P R F
C3 90.32 87.5 88.89 100 100 100 87.16 91.49 89.27 97.30 94.74 96.00
B3 90.00 84.38 87.10 100 50.00 66.67 91.30 89.36 90.32 97.06 86.84 91.67
B1 93.33 87.5 90.32 100 100 100 90.65 89.36 90.00 89.47 89.47 89.47
B2 90.00 84.38 87.10 100 100 100 91.24 88.65 89.93 91.89 89.47 90.67
C1 96.67 90.62 93.55 100 50.00 66.67 91.18 87.94 89.53 93.55 76.32 84.06
A1 92.86 81.25 86.67 100 50.00 66.67 91.04 86.52 88.73 91.89 89.47 90.67
C2 96.67 90.62 93.55 100 50.00 66.67 89.13 87.23 88.17 96.77 78.95 86.96
A2 92.86 81.25 86.67 100 50.00 66.67 89.05 86.52 87.77 91.89 89.47 90.67
D1 92.31 75.00 82.76 100 50.00 66.67 82.84 78.72 80.73 96.15 65.79 78.12
G1 80.65 78.12 79.37 100 50.00 66.67 84.56 81.56 83.03 72.73 63.16 67.61
D3 88.89 75.00 81.36 100 50.00 66.67 83.08 76.60 79.70 96.15 65.79 78.12
D2 92.31 75.00 82.76 100 50.00 66.67 75.86 78.01 76.92 96.15 65.79 78.12
H2 83.87 81.25 82.54 100 100 100 73.79 75.89 74.83 77.78 73.68 75.68
H1 80.65 78.12 79.37 100 100 100 75.86 78.01 76.92 70.27 68.42 69.33
H3 83.87 81.25 82.54 100 100 100 73.79 75.89 74.83 70.27 68.42 69.33
  1. P, R and F were calculated at the phrase level: P, precision; R, recall; F, F1-measure; and A, accuracy. A was calculated in the word level (the agreement ratio of B-*, I-* and O).
  2. The first column stands for participants’ team names, where the first letter stands for a team ID and the second numerical value stands for a submission run ID