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Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review, , , , , , , и . Journal of Biomedical Informatics, (2021)An informatics research platform to make public gene expression time-course datasets reusable for more scientific discoveries., , , , , , , , , и . Database J. Biol. Databases Curation, (2020)A flexible framework for deriving assertions from electronic medical records., и . J. Am. Medical Informatics Assoc., 18 (5): 568-573 (2011)Application of an ontology for model cards to generate computable artifacts for linking machine learning information from biomedical research., , , и . WWW (Companion Volume), стр. 820-825. ACM, (2023)Patient-Provider Communication Training Models for Interactive Speech Devices., , , и . HCI (16), том 12777 из Lecture Notes in Computer Science, стр. 250-268. Springer, (2021)Overview of the TREC 2022 Clinical Trials Track., , , , и . TREC, том 500-338 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)Question Answering with LCC's CHAUCER at TREC 2006., , , , , и . TREC, том 500-272 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2006)Overview of the TAC 2017 Adverse Reaction Extraction from Drug Labels Track., , и . TAC, NIST, (2017)Scaling Answer Type Detection to Large Hierarchies., и . LREC, European Language Resources Association, (2008)Extracting Adherence Information from Electronic Health Records., , , , , , , и . COLING, стр. 680-695. International Committee on Computational Linguistics, (2020)