| Feature |
Description |
| Name |
en_core_spancat_med7_lg |
| Version |
3.4.2.1 |
| spaCy |
>=3.4.2,<3.5.0 |
| Default Pipeline |
tok2vec, spancat |
| Components |
tok2vec, spancat |
| Vectors |
514157 keys, 514157 unique vectors (300 dimensions) |
| Sources |
n/a |
| License |
MIT |
| Author |
Andrey Kormilitzin |
Label Scheme
View label scheme (8 labels for 1 components)
| Component |
Labels |
spancat |
DOSAGE, MEDINFO, DRUG, STRENGTH, FREQUENCY, ROUTE, DURATION, FORM |
Accuracy
| Type |
Score |
SPANS_SC_F |
85.21 |
SPANS_SC_P |
91.52 |
SPANS_SC_R |
79.71 |
TOK2VEC_LOSS |
260.85 |
SPANCAT_LOSS |
282817.13 |
BibTeX entry and citation info
@article{kormilitzin2021med7,
title={Med7: A transferable clinical natural language processing model for electronic health records},
author={Kormilitzin, Andrey and Vaci, Nemanja and Liu, Qiang and Nevado-Holgado, Alejo},
journal={Artificial Intelligence in Medicine},
volume={118},
pages={102086},
year={2021},
publisher={Elsevier}
}
