--- license: cc-by-4.0 language: - es base_model: PlanTL-GOB-ES/bsc-bio-ehr-es --- # Training data Model trained on the disease mentions of [CARMEN-I](https://zenodo.org/records/10171540). # Citation Please cite the following works: ``` @inproceedings{distemist, title={{Overview of DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts: results, methods, evaluation and multilingual resources}}, author={Miranda-Escalada, Antonio and Gascó, Luis and Lima-López, Salvador and Farré-Maduell, Eulàlia and Estrada, Darryl and Nentidis, Anastasios and Krithara, Anastasia and Katsimpras, Georgios and Paliouras, Georgios and Krallinger, Martin}, booktitle={Working Notes of Conference and Labs of the Evaluation (CLEF) Forum. CEUR Workshop Proceedings}, year={2022} } @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