Your browser doesn't support javascript.
loading
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.
Afiliação
  • 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 em En | MEDLINE | ID: mdl-34592777
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2021 Tipo de documento: Article