AE, B., Q, G., E, H., S, D., PR, A., & J, S. (2025). Comparative Analysis of NLP Models for Automatic LOINC Document Ontology Named Entity Recognition in Clinical Note Titles. Studies in health technology and informatics, 329, 769. https://doi.org/10.3233/SHTI250944
Chicago Style (17th ed.) CitationAE, Bowles, Gan Q, Hanchrow E, Duvall S, Alba PR, and Shi J. "Comparative Analysis of NLP Models for Automatic LOINC Document Ontology Named Entity Recognition in Clinical Note Titles." Studies in Health Technology and Informatics 329 (2025): 769. https://doi.org/10.3233/SHTI250944.
MLA (9th ed.) CitationAE, Bowles, et al. "Comparative Analysis of NLP Models for Automatic LOINC Document Ontology Named Entity Recognition in Clinical Note Titles." Studies in Health Technology and Informatics, vol. 329, 2025, p. 769, https://doi.org/10.3233/SHTI250944.