| Feature | Description |
|---|---|
| Name | en_core_spancat_med7_lg |
| Version | 3.4.2.1 |
| spaCy | >=3.4.2,<3.5.0 |
| Default Pipeline | tok2vec, spancat |
| Components | tok2vec, 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 |
</details>
Accuracy
| Type | Score |
|---|---|
SPANS_SC_F |
85.21 |
SPANS_SC_P |
91.52 |
SPANS_SC_R |
79.71 |
TOK2VEC_LOSS |
260.85 |
SPANCAT_LOSS |
282817.13 |
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}
}
