metadata
tags:
- spacy
- token-classification
language:
- es
license: mit
model-index:
- name: es_BreastCancerNER
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9245630175
- name: NER Recall
type: recall
value: 0.9396914446
- name: NER F Score
type: f_score
value: 0.9320658474
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 |
Label Scheme
View label scheme (21 labels for 1 components)
| 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 |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
93.21 |
ENTS_P |
92.46 |
ENTS_R |
93.97 |
TRANSFORMER_LOSS |
45014.63 |
NER_LOSS |
1216054.67 |
Citation
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}
}