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Optimizing Identification of People Living with HIV from Electronic Medical Records: Computable Phenotype Development and Validation.
Liu, Yiyang; Siddiqi, Khairul A; Cook, Robert L; Bian, Jiang; Squires, Patrick J; Shenkman, Elizabeth A; Prosperi, Mattia; Jayaweera, Dushyantha T.
Affiliation
  • Liu Y; Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, United States.
  • Siddiqi KA; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, United States.
  • Cook RL; Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, United States.
  • Bian J; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, United States.
  • Squires PJ; Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, United States.
  • Shenkman EA; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, United States.
  • Prosperi M; Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, United States.
  • Jayaweera DT; Department of Medicine, Miller School of Medicine, University of Miami, Miami, Florida, United States.
Methods Inf Med ; 60(3-04): 84-94, 2021 09.
Article in En | MEDLINE | ID: mdl-34592777
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Electronic Health Records Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Language: En Journal: Methods Inf Med Year: 2021 Type: Article Affiliation country: United States
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Electronic Health Records Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Language: En Journal: Methods Inf Med Year: 2021 Type: Article Affiliation country: United States