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An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report.

, , , , , , and . J. Am. Medical Informatics Assoc., 27 (8): 1321-1325 (2020)

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Automatic trial eligibility surveillance based on unstructured clinical data., , , , and . Int. J. Medical Informatics, (2019)Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes., and . J. Biomed. Informatics, (2015)Text de-identification for privacy protection: A study of its impact on clinical text information content, , , , , and . Journal of Biomedical Informatics, 0 (0): - (2014)AI-Based Gut-Brain Axis Digital Twins., , , and . MIE, volume 302 of Studies in Health Technology and Informatics, page 1007-1008. IOS Press, (2023)Can Physicians Recognize Their Own Patients in De-identified Notes?, , , and . MIE, volume 205 of Studies in Health Technology and Informatics, page 778-782. IOS Press, (2014)Improving Classification of Medical Assertions in Clinical Notes., , and . ACL (2), page 311-316. The Association for Computer Linguistics, (2011)Automatically Detecting Medications and the Reason for their Prescription in Clinical Narrative Text Documents., , , , and . MedInfo, volume 160 of Studies in Health Technology and Informatics, page 944-948. IOS Press, (2010)Clinical Concept Extraction Using Contextual String Embeddings., , and . AMIA, AMIA, (2021)Clinical Text Automatic De-Identification to Support Large Scale Data Reuse and Sharing: Pilot Results., , , , and . AMIA, AMIA, (2018)Automatic Text De-Identification: How and When is it Acceptable?, , , , , , and . AMIA, AMIA, (2018)