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模型:
kormilitzin/en_core_med7_lg
英文| 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 | 1231321 |
标签方案
查看标签方案（1个组件的7个标签）| Component | Labels |
|---|---|
| ner | DOSAGE , DRUG , DURATION , FORM , FREQUENCY , ROUTE , STRENGTH |
准确率
| Type | Score |
|---|---|
| ENTS_F | 87.70 |
| ENTS_P | 86.50 |
| ENTS_R | 88.93 |
| TOK2VEC_LOSS | 226109.53 |
| NER_LOSS | 302222.55 |
BibTeX条目和引用信息
@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}
}