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Bridging information gaps in menopause status classification through natural language processing.

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Title: Bridging information gaps in menopause status classification through natural language processing.
Authors: Eyre H; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT 84113, United States.; Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT 84112, United States., Alba PR; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT 84113, United States.; Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT 84112, United States., Gibson CJ; San Francisco VA Healthcare System, San Francisco, CA 94121, United States.; University of California, San Francisco, San Francisco, CA 94115, United States., Gatsby E; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT 84113, United States., Lynch KE; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT 84113, United States.; Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT 84112, United States., Patterson OV; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT 84113, United States.; Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT 84112, United States., DuVall SL; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT 84113, United States.; Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT 84112, United States.
Source: JAMIA open [JAMIA Open] 2024 Feb 09; Vol. 7 (1), pp. ooae013. Date of Electronic Publication: 2024 Feb 09 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2574-2531
DOI:10.1093/jamiaopen/ooae013