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Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora.

, , , , , and . J. Biomed. Informatics, (2017)

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Clinical Text Mining - Secondary Use of Electronic Patient Records. Springer, (2018)Knowledge patterns for online health portal development., , and . Health Informatics J., (2019)De-identifying Swedish clinical text - refinement of a gold standard and experiments with Conditional random fields., and . J. Biomed. Semant., (2010)Evaluating a Spelling Support in a Search Engine.. NLDB, volume 2553 of Lecture Notes in Computer Science, page 183-190. Springer, (2002)Vocabulary Modifications for Domain-adaptive Pretraining of Clinical Language Models., , and . HEALTHINF, page 180-188. SCITEPRESS, (2022)The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text., , and . LOUHI@EMNLP, page 1-11. Association for Computational Linguistics, (2020)Evaluating Pretraining Strategies for Clinical BERT Models., , and . LREC, page 410-416. European Language Resources Association, (2022)Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection., , , and . DSAA, page 1-8. IEEE, (2015)Natural Language Generation from SNOMED Specifications., , and . CLEF (Online Working Notes/Labs/Workshop), volume 1178 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish., , , , and . J. Biomed. Informatics, (2022)