With the challenge concluded, all data sets are now available for download at the CMC Resource Catalog.
This page lists final results of the 2007 Computational Medicine Center International Challenge: Classifying Clinical Free Text Using Natural Language Processing.
MICRO-AVERAGED F-1 mean = 0.7670
MICRO-AVERAGED F-1 std.dev. = 0.1325
MICRO-AVERAGED F-1 median = 0.7985
GREEN MICRO-AVERAGED F-1 is 1 standard deviation from the mean
ORANGE MICRO-AVERAGED F-1 is 2 standard deviations from the mean
RED MICRO-AVERAGED F-1 is more than 2 standard deviations from the mean
| PLACE | TEAM SHORT NAME | MICRO-AVERAGED F-1 | MACRO-AVERAGED F-1 | COST SENSITIVE |
|---|---|---|---|---|
| 1 | Szeged | 0.8908 | 0.7691 | 0.9180 |
| 2 | University at Albany | 0.8855 | 0.7291 | 0.9091 |
| 3 | University of Turku | 0.8769 | 0.7034 | 0.9126 |
| 4 | PENN | 0.8760 | 0.7210 | 0.9088 |
| 5 | LMCO-IS & S | 0.8719 | 0.7760 | 0.9009 |
| 6 | GMJ_JL | 0.8711 | 0.7334 | 0.8975 |
| 7 | SULTRG | 0.8676 | 0.7322 | 0.8998 |
| 8 | MANCS | 0.8594 | 0.6676 | 0.9049 |
| 9 | otters | 0.8509 | 0.6816 | 0.9010 |
| 10 | Aseervatham | 0.8498 | 0.6756 | 0.8775 |
| 11 | LHC/NLM | 0.8469 | 0.6916 | 0.8880 |
| 12 | ohsu_dmice | 0.8457 | 0.6542 | 0.8938 |
| 13 | Stockholm | 0.8392 | 0.6684 | 0.8699 |
| 14 | Fabrizio Sebastiani | 0.8375 | 0.6870 | 0.8754 |
| 15 | UOE | 0.8360 | 0.6802 | 0.8598 |
| 16 | Davide | 0.8284 | 0.6784 | 0.8804 |
| 17 | SIM | 0.8277 | 0.6959 | 0.8755 |
| 18 | Yasui Biostatistics Team | 0.8274 | 0.6825 | 0.8703 |
| 19 | SUNY-Buffalo | 0.8258 | 0.6276 | 0.8805 |
| 20 | I2R | 0.8180 | 0.6763 | 0.8449 |
| 21 | LLX | 0.8147 | 0.7343 | 0.8354 |
| 22 | BME-TMIT | 0.7992 | 0.6406 | 0.8567 |
| 23 | Watson | 0.7977 | 0.5488 | 0.8725 |
| 24 | ErasmusMC | 0.7969 | 0.6369 | 0.8424 |
| 25 | NJU-NLP Group | 0.7950 | 0.5846 | 0.8558 |
| 26 | bozyurt | 0.7916 | 0.5643 | 0.8686 |
| 27 | Dharmendra | 0.7900 | 0.5758 | 0.8618 |
| 28 | strappa | 0.7822 | 0.5662 | 0.8810 |
| 29 | UMN | 0.7741 | 0.5540 | 0.8525 |
| 30 | cl.naist.jp | 0.7657 | 0.5571 | 0.8710 |
| 31 | MITRE | 0.7455 | 0.5097 | 0.8574 |
| 32 | BAL | 0.7341 | 0.5936 | 0.8106 |
| 33 | Delbecque | 0.7246 | 0.5682 | 0.7960 |
| 34 | ravim | 0.7145 | 0.5522 | 0.7874 |
| 35 | MIRACLE | 0.7067 | 0.5109 | 0.8000 |
| 36 | Magne Rekdal | 0.6869 | 0.5238 | 0.7749 |
| 37 | cu_nlp | 0.6865 | 0.5052 | 0.7894 |
| 38 | CNRC | 0.6823 | 0.5089 | 0.8140 |
| 39 | ARAMAKI | 0.6786 | 0.4459 | 0.7881 |
| 40 | SINAI | 0.6719 | 0.5248 | 0.7590 |
| 41 | Hirukote | 0.6556 | 0.4770 | 0.7807 |
| 42 | MERLIN | 0.5768 | 0.3345 | 0.7373 |
| 43 | ILMA | 0.3905 | 0.3351 | 0.5099 |
| 44 | CLaC | 0.1541 | 0.1918 | 0.4545 |