Using Natural Language Processing and Machine Learning to Identify Internal Medicine–Pediatrics Residency Values in Applications

Bibliographic Data

ID21614355
AuthorsBenjamin Drum (0000-0001-6056-9037, B. Drum is assistant professor, Department of Internal Medicine, and adjunct professor, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, corresponding author), Jianlin Shi (J. Shi is a research associate, Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah ; [email protected]), Bennet Peterson (0000-0001-7906-5146, B. Peterson is a graduate student, Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah), Sara Lamb (S. Lamb is vice dean of education, University of Utah School of Medicine, Salt Lake City, Utah ; [email protected]), John F Hurdle (0000-0002-1188-7685, J.F. Hurdle is professor, Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah ; [email protected]), Casey Gradick (C. Gradick is assistant professor, Department of Internal Medicine, and adjunct professor, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah ; [email protected])
Year2023
Volume98
Issue11
Pages1278-1282
Publication date2023-11-01
Open AccessYes
TypeARTICLE
VenueAcademic Medicine (JOURNAL)
Journal identifiersISSN: 1040-2446 • E-ISSN: 1938-808X
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1097/acm.0000000000005352
PMID37506388
OpenAlexW4385332627
LanguageEN
Citations received2
References cited9

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