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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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Speech Translation with Phrase Based Stochastic Finite-State Transducers., , and . ICASSP (4), page 113-116. IEEE, (2007)Multi-label clinical document classification: Impact of label-density., , , and . Expert Syst. Appl., (2019)Learning to extract adverse drug reaction events from electronic health records in Spanish., , , , and . Expert Syst. Appl., (2016)Extracting Cause of Death From Verbal Autopsy With Deep Learning Interpretable Methods., , , and . IEEE J. Biomed. Health Informatics, 25 (4): 1315-1325 (2021)Neural negated entity recognition in Spanish electronic health records., , , and . J. Biomed. Informatics, (2020)Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish., , , , and . J. Biomed. Informatics, (2022)Adverse Drug Reaction extraction: Tolerance to entity recognition errors and sub-domain variants., , and . Comput. Methods Programs Biomed., (2021)Cause of Death estimation from Verbal Autopsies: Is the Open Response redundant or synergistic?, , , , and . Artif. Intell. Medicine, (September 2023)Machine Learning Approaches on Diagnostic Term Encoding With the ICD for Clinical Documentation., , and . IEEE J. Biomed. Health Informatics, 22 (4): 1323-1329 (2018)Cardiology record multi-label classification using latent Dirichlet allocation., , , and . Comput. Methods Programs Biomed., (2018)