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Proposed clinical indicators for efficient screening and testing for COVID-19 infection using Classification and Regression Trees (CART) analysis.
Zimmerman, Richard K; Nowalk, Mary Patricia; Bear, Todd; Taber, Rachel; Clarke, Karen S; Sax, Theresa M; Eng, Heather; Clarke, Lloyd G; Balasubramani, G K.
Afiliação
  • Zimmerman RK; Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Nowalk MP; Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Bear T; Department of Behavioral and Community Health Sciences, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
  • Taber R; Department of Behavioral and Community Health Sciences, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
  • Clarke KS; Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Sax TM; Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
  • Eng H; Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
  • Clarke LG; Department of Pharmacy, UPMC Health System, Pittsburgh, PA, USA.
  • Balasubramani GK; Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Hum Vaccin Immunother ; 17(4): 1109-1112, 2021 04 03.
Article em En | MEDLINE | ID: mdl-33079625

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article