| Feature |
Description |
| Name |
en_core_med7_lg |
| Version |
3.4.2.1 |
| spaCy |
>=3.4.2,<3.5.0 |
| Default Pipeline |
tok2vec, ner |
| Components |
tok2vec, ner |
| Vectors |
514157 keys, 514157 unique vectors (300 dimensions) |
| Sources |
n/a |
| License |
MIT |
| Author |
Andrey Kormilitzin |
Label Scheme
View label scheme (7 labels for 1 components)
| Component |
Labels |
ner |
DOSAGE, DRUG, DURATION, FORM, FREQUENCY, ROUTE, STRENGTH |
Accuracy
| Type |
Score |
ENTS_F |
87.70 |
ENTS_P |
86.50 |
ENTS_R |
88.93 |
TOK2VEC_LOSS |
226109.53 |
NER_LOSS |
302222.55 |
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}
}
