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Training data

Model trained on the MedProcNER corpus.

Citation

Please cite the following works:

@inproceedings{medprocner,
  title = {{Overview of MedProcNER task on medical procedure detection and entity linking at BioASQ 2023}},
  author = {Lima-López, Salvador and Farré-Maduell, Eulàlia and Gascó, Luis and Nentidis, Anastasios and Krithara, Anastasia and Katsimpras, Georgios and Paliouras, Georgios and Krallinger, Martin},
  booktitle = {Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum},
  year = {2023}
}

@misc{carmen_physionet, 
  author = {Farre Maduell, Eulalia and Lima-Lopez, Salvador and Frid, Santiago Andres and Conesa, Artur and Asensio, Elisa and Lopez-Rueda, Antonio and Arino, Helena and Calvo, Elena and Bertran, Maria Jesús and Marcos, Maria Angeles and Nofre Maiz, Montserrat and Tañá Velasco, Laura and Marti, Antonia and Farreres, Ricardo and Pastor, Xavier and Borrat Frigola, Xavier and Krallinger, Martin}, 
  title = {{CARMEN-I: A resource of anonymized electronic health records in Spanish and Catalan for training and testing NLP tools (version 1.0.1)}}, 
  year = {2024}, 
  publisher = {PhysioNet}, 
  url = {https://doi.org/10.13026/x7ed-9r91} 
}

@article{physionet,
  author = {Ary L. Goldberger  and Luis A. N. Amaral  and Leon Glass  and Jeffrey M. Hausdorff  and Plamen Ch. Ivanov  and Roger G. Mark  and Joseph E. Mietus  and George B. Moody  and Chung-Kang Peng  and H. Eugene Stanley },
  title = {PhysioBank, PhysioToolkit, and PhysioNet  },
  journal = {Circulation},
  volume = {101},
  number = {23},
  pages = {e215-e220},
  year = {2000},
  doi = {10.1161/01.CIR.101.23.e215},
  URL = {https://www.ahajournals.org/doi/abs/10.1161/01.CIR.101.23.e215}
}

Contacting authors

jan.rodriguez [at] bsc.es

More information on data, usage, limitations, and performance metrics soon

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