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
|
1231321
|
标签方案
查看标签方案(1组件的7个标签)
Component
|
Labels
|
ner
|
DOSAGE
,
DRUG
,
DURATION
,
FORM
,
FREQUENCY
,
ROUTE
,
STRENGTH
|
准确率
Type
|
Score
|
ENTS_F
|
90.33
|
ENTS_P
|
88.22
|
ENTS_R
|
92.54
|
TRANSFORMER_LOSS
|
2502627.06
|
NER_LOSS
|
114576.77
|
BibTeX条目和引文信息
@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}
}