metadata
tags:
- spacy
language:
- en
license: mit
model-index:
- name: en_core_spancat_med7_lg
results: []
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
View label scheme (8 labels for 1 components)
Component | Labels |
---|---|
spancat |
DOSAGE , MEDINFO , DRUG , STRENGTH , FREQUENCY , ROUTE , DURATION , FORM |
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}
}