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Referencias:

• Aleksovski, Z., (2014) Testing Radlex for Completeness Using Large Database of Radiology Reports, , Society for Imaging Informatics in Medicine, Annual Meeting
• Ambulódegui, E.S., (2012) Manual De Terminología Médica N 2
• Ananiadou, S., Friedman, C., Tsujii, J., Introduction: Named entity recognition in biomedicine (2004) J. Biomed. Inform., 37 (6), pp. 393-395
• Basaldella, M., Furrer, L., Tasso, C., Rinaldi, F., Entity recognition in the biomedical domain using a hybrid approach (2017) J. Biomed. Semant., 8 (1), p. 51
• Batista-Navarro, R.T., Rak, R., Ananiadou, S., Chemistry-specific features and heuristics for developing a CRF-based chemical named entity recogniser (2013) Proceedings of the Fourth Biocreative Challenge Evaluation Workshop, 2, pp. 55-59. , vol., pp., Citeseer
• Cascade, P.N., Berlin, L., Malpractice issues in radiology (1999) AJR Am. J. Roentgenol., 173 (6), pp. 1439-1442
• Castro, E., Iglesias, A., Martínez, P., Castaño, L., Automatic identification of biomedical concepts in Spanish-language unstructured clinical texts (2010) Proceedings of the 1St ACM International Health Informatics Symposium, pp. 751-757. , pp., ACM
• Chapman, W.W., Cohen, K.B., Current issues in biomedical text mining and natural language processing (2009) J. Biomed. Inform., 42 (5), pp. 757-759
• Chinchor, N., Hirschman, L., Lewis, D.D., Evaluating message understanding systems: An analysis of the third message understanding conference (MUC-3) (1993) Assoc. Comput. Linguist., 19 (3), pp. 409-449
• Cohen, A.M., Hersh, W.R., A survey of current work in biomedical text mining (2005) Brief. Bioinform., 6 (1), pp. 57-71
• Cotik, V., Filippo, D., Roller, R., Uszkoreit, H., Xu, F., Annotation of entities and relations in Spanish radiology reports (2017) In: Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP, 2017, pp. 177-184. , pp
• Do, B., Wu, A., Maley, J., Biswal, S., Automatic retrieval of bone fracture knowledge using natural language processing (2013) J. Digit. Imaging, 26 (4), pp. 709-713
• Iglesias, A., Mostas: Un etiquetador morfo-semántico, anonimizador y corrector de historiales clínicos (2008) Procesamiento Del Lenguaje Nat, 41, pp. 299-300
• Jiang, J., Guan, Y., Zhao, C., WI-ENRE in CLEF eHealth evaluation lab 2015: Clinical named entity recognition based on CRF (2015) Working Notes of CLEF 2015-Conference and Labs of the Evaluation Forum, Toulouse, France
• López Piñero, J.M., Terrada Ferrandis, M.L., (2005) Introducción a La terminología médica, , Masson S.A
• Laguna, J.Y., Diccionario De Siglas médicas Y Otras Abreviaturas, epónimos Y términos médicos Relacionados Con La codificación De Las Altas Hospitalarias
• Lakhani, P., Langlotz, C.P., Automated detection of radiology reports that document non-routine communication of critical or significant results (2009) J. Digit. Imaging, 23 (6), pp. 647-657
• Leaman, R., Gonzalez, G., BANNER: An executable survey of advances in biomedical named entity recognition (2008) Proceedings of the Pacific Symposium on Bio-Computing, 13, pp. 652-663. , vol., pp
• Moon, S., Pakhomov, S.V.S., Liu, N., Ryan, J.O., Melton, G.B., A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources (2014) JAMIA, 21 (2), pp. 299-307
• Nadeau, D., Sekine, S., A survey of named entity recognition and classification (2007) Linguist. Investig., 30 (1), pp. 3-26. , https://doi.org/10.1075/li.30.1.03nad
• Oronoz, M., Casillas, A., Gojenola, K., Perez, A., Automatic annotation of medical records in Spanish with disease, drug and substance names (2013) CIARP 2013. LNCS, 8259, pp. 536-543. , https://doi.org/10.1007/978-3-642-41827-367, Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds.), pp., Springer, Heidelberg
• Poibeau, T., Kosseim, L., Proper name extraction from non-journalistic texts (2000) In: Computational Linguistics in the Netherlands 2000, Selected Papers from the Eleventh CLIN Meeting, Tilburg, 3, pp. 144-157. , November, pp
• Roller, R., Detecting named entities and relations in German clinical reports (2018) GSCL 2017. LNCS (LNAI), 10713, pp. 146-154. , https://doi.org/10.1007/978-3-319-73706-512, Rehm, G., Declerck, T. (eds.)
• Santiso, S., Casillas, A., Pérez, A., Oronoz, M., Medical entity recognition and negation extraction: Assessment of NegEx on health records in Spanish (2017) IWBBIO 2017. LNCS, 10208, pp. 177-188. , https://doi.org/10.1007/978-3-319-56148-615, Rojas, I., Ortuño, F. (eds.), pp., Springer, Cham
• Settles, B., Biomedical named entity recognition using conditional random fields and rich feature sets (2004) Proceedings of the COLING 2004 International Joint Workshop on Natural Language Processing in Biomedicine and Its Applications (Nlpba/Bionlp), COLING, p. 2004. , Association for Computational Linguistics, Stroudsburg
• Shen, D., Zhang, J., Zhou, G., Su, J., Tan, C.L., Effective adaptation of a hidden Markov model-based named entity recognizer for biomedical domain (2003) Proceedings of the ACL 2003 Workshop on Natural Language Processing in Biomedicine, 13, pp. 49-56. , Association for Computational Linguistics
• Simpson, M.S., Demner-Fushman, D., (2012) Biomedical Text Mining: A Survey of Recent Progress, pp. 465-517. , https://doi.org/10.1007/978-1-4614-3223-414, Aggarwal, C., Zhai, C. (eds.) Mining Text Data, pp., Springer, Boston
• Sondhi, P., (2008) A Survey on Named Entity Extraction in the Biomedical Domain
• Takeuchi, K., Collier, N., Bio-medical entity extraction using support vector machines (2005) Artif. Intell. Med., 33 (2), pp. 125-137
• Tasneem, A., Archana, B., A survey on biomedical named entity extraction Asian
• (2016) J. Eng. Technol. Innov., 4 (7), pp. 25-28
• Uzuner, Ö., Solti, I., Cadag, E., Extracting medication information from clinical text (2010) J. Am. Med. Inform. Assoc., 17 (5), pp. 514-518
• Estopà, R., Vivaldi, J., Cabré, M.T., Use of Greek and Latin forms for term detection (2000) Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2000), 78, pp. 855-859. , vol., pp
• Weegar, R., Casillas, A., de Ilarraza, A.D., Oronoz, M., Prez, A., Gojenola, K., The impact of simple feature engineering in multilingual medical NER (2016) Proceedings of the Clinical Natural Language Processing Workshop, pp. 1-6. , pp
• Xu, H., Stetson, P.D., Friedman, C., A study of abbreviations in clinical notes (2007) AMIA 2007, American Medical Informatics Association Annual Symposium, , Chicago, IL, USAA4 - BBVA, Peru; North American Chapter of the ACL, USA; Telefónica del Perú, Peru

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