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Cohort selection for clinical trials: n2c2 2018 shared task track 1.

, , , , and . J. Am. Medical Informatics Assoc., 26 (11): 1163-1171 (2019)

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Temporal expression normalisation in natural language texts. CoRR, (2012)An Empirical Test of GRUs and Deep Contextualized Word Representations on De-Identification., , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 218-222. IOS Press, (2019)Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives., , , , and . JAMIA, 20 (5): 859-866 (2013)Corrigendum to "Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2" J Biomed Inform. 2017 Nov;75S: S62-S70., , and . J. Biomed. Informatics, (2018)Blaze-IT: A Lightweight BERT Model for the Italian Language., and . CLiC-it, volume 3596 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Prescription extraction using CRFs and word embeddings., , and . J. Biomed. Informatics, (2017)Data-driven temporal information extraction with applications in general and clinical domains.. University of Manchester, UK, (2016)British Library, EThOS.Introducing Serendipity in a Content-Based Recommender System., , , , , and . HIS, page 168-173. IEEE Computer Society, (2008)Extracting ADRs from Drug Labels using Bi-LSTM and CRFs., , and . AMIA, AMIA, (2018)Temporal expression extraction with extensive feature type selection and a posteriori label adjustment., and . Data Knowl. Eng., (2015)