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An Empirical Study of Clinical Note Generation from Doctor-Patient Encounters.

, , , and . EACL, page 2283-2294. Association for Computational Linguistics, (2023)

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Classifying Supplement Use Status in Clinical Notes., , , , and . CRI, AMIA, (2017)An Empirical Study of Clinical Note Generation from Doctor-Patient Encounters., , , and . EACL, page 2283-2294. Association for Computational Linguistics, (2023)Leveraging Association Rule Mining to Detect Pathophysiological Mechanisms of Chronic Kidney Disease Complicated by Metabolic Syndrome., , , , , , and . BIBM, page 1302-1309. IEEE Computer Society, (2018)Evaluating automatic methods to extract patients' supplement use from clinical reports., , and . BIBM, page 1258-1261. IEEE Computer Society, (2017)Detecting Signals of Interactions Between Warfarin and Dietary Supplements in Electronic Health Records., , , , , and . MedInfo, volume 245 of Studies in Health Technology and Informatics, page 370-374. IOS Press, (2017)Extracting social determinants of health from clinical note text with classification and sequence-to-sequence approaches., , and . J. Am. Medical Informatics Assoc., 30 (8): 1448-1455 (July 2023)HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology., , , , , , , and . J. Biomed. Informatics, (2019)Classification of use status for dietary supplements in clinical notes., , and . BIBM, page 1054-1061. IEEE Computer Society, (2016)Normalizing Dietary Supplement Product Names Using the RxNorm Model., , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 408-412. IOS Press, (2019)