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@@ -41,6 +41,18 @@ This model adapts the pre-trained model [bsc-bio-ehr-es](https://huggingface.co/
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  It is fine-tuned to conduct temporal named entity recognition on Spanish texts about clinical trials.
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  The model is fine-tuned on the [CT-EBM-ES corpus (Campillos-Llanos et al. 2021)](https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01395-z).
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  ## Intended uses & limitations
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  **Disclosure**: *This model is under development and needs to be improved. It should not be used for medical decision making without human assistance and supervision*
 
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  It is fine-tuned to conduct temporal named entity recognition on Spanish texts about clinical trials.
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  The model is fine-tuned on the [CT-EBM-ES corpus (Campillos-Llanos et al. 2021)](https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01395-z).
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+ If you use this model, please, cite as follows:
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+
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+ ```
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+ @article{campillosetal2024,
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+         title = {{Hybrid tool for semantic annotation and concept extraction of medical texts in Spanish}},
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+         author = {Campillos-Llanos, Leonardo and Valverde-Mateos, Ana and Capllonch-Carri{\'o}n, Adri{\'a}n},
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+         journal = {BMC Bioinformatics},
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+ year={2024},
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+ publisher={BioMed Central}
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+ }
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+ ```
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+
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  ## Intended uses & limitations
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  **Disclosure**: *This model is under development and needs to be improved. It should not be used for medical decision making without human assistance and supervision*