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Identifying People Living With or Those at Risk for HIV in a Nationally Sampled Electronic Health Record Repository Called the National Clinical Cohort Collaborative: Computational Phenotyping Study.

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Title: Identifying People Living With or Those at Risk for HIV in a Nationally Sampled Electronic Health Record Repository Called the National Clinical Cohort Collaborative: Computational Phenotyping Study.
Authors: Hurwitz E; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States., Varley CD; School of Medicine, Oregon Health & Science University, Portland, OR, United States., Anzolone AJ; Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, United States., Madhira V; Palila Software, Reno, NV, United States., Olex AL; Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, United States., Sun J; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States., Vaidya D; Department of Medicine, University of Washington, Seattle, WA, United States., Fadul N; Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States., Islam JY; Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.; Department of Oncologic Sciences, University of South Florida, Tampa, FL, United States., Jackson LE; Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States., Wilkins KJ; Biostatistics Program Office of the Director, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States., Butzin-Dozier Z; Division of Biostatistics, University of California Berkeley School of Public Health, Berkeley, CA, United States., Li D; Department of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, United States., Safo SE; Department of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, United States., McMurry JA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States., Maheria P; Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States., Williams T; Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States., Hassan SA; Department of Medicine, University of Washington, Seattle, WA, United States., Haendel MA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States., Patel RC; Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Corporate Authors: National Clinical Cohort Collaborative (N3C) Consortium; See Acknowledgments, .
Source: JMIR medical informatics [JMIR Med Inform] 2025 Jul 11; Vol. 13, pp. e68143. Date of Electronic Publication: 2025 Jul 11.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Identifying People Living With or Those at Risk for HIV in a Nationally Sampled Electronic Health Record Repository Called the National Clinical Cohort Collaborative: Computational Phenotyping Study.
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  Data: <searchLink fieldCode="CA" term="%22National+Clinical+Cohort+Collaborative+%28N3C%29+Consortium%22">National Clinical Cohort Collaborative (N3C) Consortium</searchLink>; See Acknowledgments, .
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