Skip to main content

Table 4 The performance of CRF with all features for CTCF recognition

From: Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes

Round Models TP FP FN P R F Total
- M0 (baseline) 9635 1111 1583 0.897 0.859 0.877 11,218
1st M0 + F1 9654 1135 1564 0.895 0.861 0.877 11,218
1st M0 + F2 9671 1127 1547 0.896 0.862 0.879 11,218
1st M0 + F3 9664 1135 1554 0.895 0.862 0.878 11,218
1st M0 + F4 9678 1101 1540 0.898 0.863 0.880 11,218
1st M0 + F5 (M1) 9711 1057 1507 0.902 0.866 0.883 11,218
2nd M1 + F1 9717 1066 1501 0.901 0.866 0.883 11,218
2nd M1 + F2 9725 1083 1493 0.900 0.867 0.883 11,218
2nd M1 + F3 9732 1082 1486 0.900 0.868 0.883 11,218
2nd M1 + F4 (M2) 9725 1071 1493 0.901 0.867 0.884 11,218
3rd M2 + F1 (M3) 9754 1062 1464 0.901 0.870 0.885 11,218
3rd M2 + F2 9752 1080 1466 0.900 0.869 0.885 11,218
3rd M2 + F3 9758 1094 1460 0.899 0.870 0.884 11,218
4th M3 + F2 (M4) 9785 1069 1433 0.902 0.872 0.887 11,218
4th M3 + F3 9765 1097 1453 0.899 0.871 0.885 11,218
  1. F1 the stop character feature, F2 the current word feature, F3 the current and context word feature, F4 the word POS tag feature, F5 the word associative feature