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}
}