Edit model card
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}
}
Downloads last month
677
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Spaces using kormilitzin/en_core_med7_lg 2

Evaluation results