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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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Machine Learning Approaches on Diagnostic Term Encoding With the ICD for Clinical Documentation., , and . IEEE J. Biomed. Health Informatics, 22 (4): 1323-1329 (2018)Smoothing dense spaces for improved relation extraction between drugs and adverse reactions., , and . Int. J. Medical Informatics, (2019)Cardiology record multi-label classification using latent Dirichlet allocation., , , and . Comput. Methods Programs Biomed., (2018)Speech Translation with Phrase Based Stochastic Finite-State Transducers., , and . ICASSP (4), page 113-116. IEEE, (2007)Learning to extract adverse drug reaction events from electronic health records in Spanish., , , , and . Expert Syst. Appl., (2016)Multi-label clinical document classification: Impact of label-density., , , and . Expert Syst. Appl., (2019)Cause of Death estimation from Verbal Autopsies: Is the Open Response redundant or synergistic?, , , , and . Artif. Intell. Medicine, (September 2023)Speech-Input Multi-Target Machine Translation., , , and . WMT@ACL, page 56-63. Association for Computational Linguistics, (2007)Multidimensional multistage k-NN classifiers for handwritten digit recognition., , , and . IWFHR, page 19-23. IEEE Computer Society, (2002)Medical Entity Recognition and Negation Extraction: Assessment of NegEx on Health Records in Spanish., , , and . IWBBIO (1), volume 10208 of Lecture Notes in Computer Science, page 177-188. (2017)