Edit model card
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}
}
Downloads last month
135
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_trf 2

Evaluation results