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en_core_spancat_med7_trf
kormilitzin/en_core_spancat_med7_trf
en_core_spancat_med7_trf is a machine learning model from kormilitzin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for spacy. The card lists the license as mit.
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Repo size
2.2 GB
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Other1.1 GB · 53%
At a glance
- Library
- spacy
- License
- mit
- Access
- Public
- Created
- Nov 18, 2022
- Updated
- Nov 19, 2022
- SHA
- 0160250a
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_core_spancat_med7_trf |
| Version | 3.4.2.1 |
| spaCy | >=3.4.2,<3.5.0 |
| Default Pipeline | transformer, spancat |
| Components | transformer, spancat |
| Vectors | 514157 keys, 514157 unique vectors (300 dimensions) |
| Sources | n/a |
| License | MIT |
| Author | Andrey Kormilitzin |
Label Scheme
<details> <summary>View label scheme (8 labels for 1 components)</summary>| Component | Labels |
|---|---|
spancat | DOSAGE, MEDINFO, DRUG, STRENGTH, FREQUENCY, ROUTE, DURATION, FORM |
Accuracy
| Type | Score |
|---|---|
SPANS_SC_F | 83.10 |
SPANS_SC_P | 83.32 |
SPANS_SC_R | 82.88 |
TRANSFORMER_LOSS | 1176.39 |
SPANCAT_LOSS | 36025.42 |
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}
}
- Library
- spacy
- License
- mit
- Languages
- en
- Created
- Nov 18, 2022
- Updated
- Nov 19, 2022