Feature |
Description |
Name |
en_core_med7_trf |
Version |
3.4.2.1 |
spaCy |
>=3.4.2,<3.5.0 |
Default Pipeline |
transformer , ner |
Components |
transformer , 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 |
90.33 |
ENTS_P |
88.22 |
ENTS_R |
92.54 |
TRANSFORMER_LOSS |
2502627.06 |
NER_LOSS |
114576.77 |
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}
}