From: A privacy-preserving distributed filtering framework for NLP artifacts
TUI | Original Clinical Note | Threshold = 1 | Threshold = 2 | Threshold = 4 | Threshold = 8 | Threshold = 16 |
---|---|---|---|---|---|---|
T007 | 0.2627 | 0.2012 | 0.1601 | 0.1421 | 0.0922 | 0.0428 |
T023 | 5.8168 | 4.4492 | 3.5281 | 2.9490 | 2.5213 | 2.1758 |
T033 | 7.7646 | 5.3959 | 4.8470 | 3.6402 | 3.1259 | 2.5570 |
T047 | 7.6978 | 5.4338 | 4.8742 | 3.7598 | 3.3876 | 2.8825 |
T060 | 2.5509 | 1.8672 | 1.6446 | 1.4018 | 1.1242 | 0.9680 |
T074 | 1.5871 | 1.2046 | 1.0991 | 0.9302 | 0.8257 | 0.6724 |
T093 | 0.9824 | 0.7123 | 0.6594 | 0.5846 | 0.5197 | 0.4925 |
T109 | 4.1908 | 2.8163 | 2.7084 | 2.8069 | 2.6024 | 1.6447 |
T121 | 1.2840 | 0.8898 | 0.8983 | 0.7719 | 0.5971 | 0.6253 |
T170 | 0.7523 | 0.5182 | 0.4450 | 0.3165 | 0.2764 | 0.1284 |
T184 | 3.5566 | 2.4968 | 2.2498 | 1.8443 | 1.4265 | 0.6895 |
T201 | 1.8249 | 1.1075 | 0.9960 | 0.9173 | 0.8441 | 0.8437 |