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Alvaro8gb/es_breast_cancer_ehr_ner
es_breast_cancer_ehr_ner is a token classification model from Alvaro8gb. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as mit.
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From the Hugging Face model README
Breast Cancer Diagnosis NER model
| Feature | Description |
|---|---|
| Name | es_BreastCancerNER |
| Version | 0.0.0 |
| spaCy | >=3.5.0,<3.6.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | mit |
| Author | Álvaro García Barragán |
| Component | Labels |
|---|---|
ner | CANCER_CONCEPT, CANCER_EXP, CANCER_GRADE, CANCER_INTRTYPE, CANCER_LOC, CANCER_MET, CANCER_REC, CANCER_STAGE, CANCER_SUBTYPE, CANCER_TYPE, DATE, IMPLICIT_DATE, MOLEC_MARKER, SURGERY, TNM, TRAT, TRAT_DRUG, TRAT_FREQ, TRAT_INTERVAL, TRAT_QUANTITY, TRAT_SHEMA |
| Type | Score |
|---|---|
ENTS_F | 93.21 |
ENTS_P | 92.46 |
ENTS_R | 93.97 |
TRANSFORMER_LOSS | 45014.63 |
NER_LOSS | 1216054.67 |
If you use our work in your research, please cite it as follows:
@INPROCEEDINGS{garcia-barraganCBMS2023,
author={García-Barragán, Alvaro and Solarte-Pabón, Oswaldo and Nedostup, Georgiy and Provencio, Mariano and Menasalvas, Ernestina and Robles, Victor},
booktitle={2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)},
title={Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning},
year={2023},
pages={404-409},
keywords={Natural Language Processing (NLP), Information extraction, Deep Learning, Breast cancer.},
doi={10.1109/CBMS58004.2023.00252}
}