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Studies in Health Technology and Informatics|August 8, 2013
Applying ontological realism to medically unexplained syndromesKristina Doing-Harris, Stephane M Meystre, Matthew Samore, et al.BMC Medical Research Methodology|August 4, 2010
Automatic de-identification of textual documents in the electronic health record: a review of recent researchStephane M Meystre, F Jeffrey Friedlin, Brett R South, et al.AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 12, 2018
Automated Extraction and Classification of Cancer Stage Mentions fromUnstructured Text Fields in a Central Cancer RegistryAbdulrahman K AAlAbdulsalam, Jennifer H Garvin, Andrew Redd, et al.Journal of Biomedical Informatics|May 27, 2014
Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical textBrett R South, Danielle Mowery, Ying Suo, et al.Journal of the American Medical Informatics Association : JAMIA|May 26, 2020
An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case reportJihad S Obeid, Matthew Davis, Matthew Turner, et al.Studies in Health Technology and Informatics|August 24, 2019
Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning ClassifiersJihad S Obeid, Paul M Heider, Erin R Weeda, et al.JMIR Medical Informatics|January 17, 2018
Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans AffairsJennifer Hornung Garvin, Youngjun Kim, Glenn Temple Gobbel, et al.Pageof 1