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Document-level adverse drug reaction event extraction on electronic health records in Spanish.

, , , , and . Proces. del Leng. Natural, (2016)

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Document-level adverse drug reaction event extraction on electronic health records in Spanish., , , , and . Proces. del Leng. Natural, (2016)The class imbalance problem detecting adverse drug reactions in electronic health records., , and . Health Informatics J., (2019)Exploring Joint AB-LSTM With Embedded Lemmas for Adverse Drug Reaction Discovery., , and . IEEE J. Biomed. Health Informatics, 23 (5): 2148-2155 (2019)Word embeddings for negation detection in health records written in Spanish., , , and . Soft Comput., 23 (21): 10969-10975 (2019)Adverse Drug Event prediction combining shallow analysis and machine learning., , , , and . Louhi@EACL, page 85-89. Association for Computational Linguistics, (2014)IxaMed at eHealth-KD Challenge 2019: Using Different Paradigms to Solve Clinical Relation Extraction., , , , , and . IberLEF@SEPLN, volume 2421 of CEUR Workshop Proceedings, page 43-50. CEUR-WS.org, (2019)IXAmed-IE: On-line medical entity identification and ADR event extraction in Spanish., , , , , , and . BIBM, page 846-849. IEEE Computer Society, (2016)Smoothing dense spaces for improved relation extraction between drugs and adverse reactions., , and . Int. J. Medical Informatics, (2019)Learning to extract adverse drug reaction events from electronic health records in Spanish., , , , and . Expert Syst. Appl., (2016)Neural negated entity recognition in Spanish electronic health records., , , and . J. Biomed. Informatics, (2020)