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Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models.

, and . CoRR, (2019)

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Leveraging Medical Visual Question Answering with Supporting Facts., , , , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models., and . CoRR, (2019)Precise Medication Extraction using Agile Text Mining., , and . Louhi@EACL, page 75-79. Association for Computational Linguistics, (2014)Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering., , and . BioNLP@ACL, page 370-379. Association for Computational Linguistics, (2019)Lessons from Natural Language Inference in the Clinical Domain., and . EMNLP, page 1586-1596. Association for Computational Linguistics, (2018)Classifier-Free, Integrated Genomic Predictions of Prostate Cancer Recurrence., and . MedInfo, volume 192 of Studies in Health Technology and Informatics, page 1177. IOS Press, (2013)Identification, characterization, and grounding of gradable terms in clinical text., , , and . BioNLP@ACL, page 17-26. Association for Computational Linguistics, (2016)Method for continuous generation of Component Business Model heat map using execution data for a complex service enterprise., , , and . SOSE, page 241-250. IEEE Computer Society, (2011)Towards building large-scale distributed systems for twitter sentiment analysis., , , and . SAC, page 459-464. ACM, (2012)Diagnosis-specific readmission risk prediction using electronic health data: a retrospective cohort study., , , , , , , and . BMC Med. Inf. & Decision Making, (2014)