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Development and Validation of a Web-Based Severe COVID-19 Risk Prediction Model.
Woo, Sang H; Rios-Diaz, Arturo J; Kubey, Alan A; Cheney-Peters, Dianna R; Ackermann, Lily L; Chalikonda, Divya M; Venkataraman, Chantel M; Riley, Joshua M; Baram, Michael.
Afiliación
  • Woo SH; Department of Medicine, Division of Hospital Medicine, Thomas Jefferson University, Philadelphia, PA, USA. Electronic address: jshwoo@gmail.com.
  • Rios-Diaz AJ; Department of Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
  • Kubey AA; Department of Medicine, Division of Hospital Medicine, Thomas Jefferson University, Philadelphia, PA, USA; Department of Medicine, Division of Hospital Medicine, Mayo Clinic, Rochester, MN, USA.
  • Cheney-Peters DR; Department of Medicine, Division of Hospital Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
  • Ackermann LL; Department of Medicine, Division of Hospital Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
  • Chalikonda DM; Department of Medicine, Division of Hospital Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
  • Venkataraman CM; Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
  • Riley JM; Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
  • Baram M; Department of Medicine - Division of Pulmonary and Critical Care, Thomas Jefferson University. Philadelphia, PA, USA.
Am J Med Sci ; 362(4): 355-362, 2021 10.
Article en En | MEDLINE | ID: mdl-34029558

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Respiración Artificial / Modelos Estadísticos / Cuidados Críticos / COVID-19 Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged País/Región como asunto: America do norte Idioma: En Revista: Am J Med Sci Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Respiración Artificial / Modelos Estadísticos / Cuidados Críticos / COVID-19 Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged País/Región como asunto: America do norte Idioma: En Revista: Am J Med Sci Año: 2021 Tipo del documento: Article