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Deep learning in clinical natural language processing: a methodical review.

, , , , , , , , , , , and . J. Am. Medical Informatics Assoc., 27 (3): 457-470 (2020)

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A flexible framework for deriving assertions from electronic medical records., and . J. Am. Medical Informatics Assoc., 18 (5): 568-573 (2011)An informatics research platform to make public gene expression time-course datasets reusable for more scientific discoveries., , , , , , , , , and . Database J. Biol. Databases Curation, (2020)Logical definition-based identification of potential missing concepts in SNOMED CT., , , and . BMC Medical Informatics Decis. Mak., 23 (1): 87 (December 2023)TREC-COVID: constructing a pandemic information retrieval test collection., , , , , , , , and . SIGIR Forum, 54 (1): 1:1-1:12 (2020)UTD-SpRL: A Joint Approach to Spatial Role Labeling., and . SemEval@NAACL-HLT, page 419-424. The Association for Computer Linguistics, (2012)Patient-Provider Communication Training Models for Interactive Speech Devices., , , and . HCI (16), volume 12777 of Lecture Notes in Computer Science, page 250-268. Springer, (2021)Application of an ontology for model cards to generate computable artifacts for linking machine learning information from biomedical research., , , and . WWW (Companion Volume), page 820-825. ACM, (2023)Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review, , , , , , , and . Journal of Biomedical Informatics, (2021)Overview of the TREC 2022 Clinical Trials Track., , , , and . TREC, volume 500-338 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)Question Answering with LCC's CHAUCER at TREC 2006., , , , , and . TREC, volume 500-272 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2006)