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Design of a model-generated repository as a service for USDL.

, , , и . iiWAS, стр. 707-713. ACM, (2010)

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Snorocket 2.0: Concrete Domains and Concurrent Classification., и . ORE, том 1015 из CEUR Workshop Proceedings, стр. 32-38. CEUR-WS.org, (2013)Design of a model-generated repository as a service for USDL., , , и . iiWAS, стр. 707-713. ACM, (2010)Knowledge-based Feature Engineering for Detecting Medication and Adverse Drug Events from Electronic Health Records., , и . Medication and Adverse Drug Event Detection, том 90 из Proceedings of Machine Learning Research, стр. 31-38. PMLR, (2018)FHIR OWL: Transforming OWL ontologies into FHIR terminology resources., , и . AMIA, AMIA, (2019)Towards achieving semantic interoperability of clinical study data with FHIR., , и . J. Biomed. Semant., 8 (1): 41:1-41:14 (2017)CADEminer: A System for Mining Consumer Reports on Adverse Drug Side Effects., , и . ESAIR@CIKM, стр. 47-50. ACM, (2015)Concept Extraction to Identify Adverse Drug Reactions in Medical Forums: A Comparison of Algorithms., и . CoRR, (2015)Concept Identification and Normalisation for Adverse Drug Event Discovery in Medical Forums., и . BMDID@ISWC, том 1709 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Evaluation of text-processing algorithms for adverse drug event extraction from social media., , и . SoMeRA@SIGIR, стр. 15-20. ACM, (2014)Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit., , , , , и . J. Biomed. Informatics, (октября 2023)