Assessing genetic counseling efficiency with natural language processing.

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Bibliographic Details
Title: Assessing genetic counseling efficiency with natural language processing.
Authors: Nguyen MH; Institute for Computational Medicine, Johns Hopkins Whiting School of Engineering, Baltimore, MD 21218, United States.; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States., Applegate CD; Department of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States., Murray B; Division of Cardiology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States., Zirikly A; Center for Language and Speech Processing, Johns Hopkins Whiting School of Engineering, Baltimore, MD 21218, United States., Tichnell C; Division of Cardiology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States., Gordon C; Division of Cardiology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States., Yanek LR; Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States., James CA; Division of Cardiology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States., Taylor CO; Institute for Computational Medicine, Johns Hopkins Whiting School of Engineering, Baltimore, MD 21218, United States.; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States.; Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States.
Source: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2026 Feb 01; Vol. 33 (2), pp. 295-303.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1527-974X
DOI:10.1093/jamia/ocaf190