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Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients.
Levy, Todd J; Coppa, Kevin; Cang, Jinxuan; Barnaby, Douglas P; Paradis, Marc D; Cohen, Stuart L; Makhnevich, Alex; van Klaveren, David; Kent, David M; Davidson, Karina W; Hirsch, Jamie S; Zanos, Theodoros P.
Afiliação
  • Levy TJ; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
  • Coppa K; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
  • Cang J; Clinical Digital Solutions, Northwell Health, New Hyde Park, NY, 11042, USA.
  • Barnaby DP; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
  • Paradis MD; Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
  • Cohen SL; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
  • Makhnevich A; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, 11549, USA.
  • van Klaveren D; Northwell Holdings, Northwell Health, Manhasset, NY, 11030, USA.
  • Kent DM; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
  • Davidson KW; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, 11549, USA.
  • Hirsch JS; Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, 11030, USA.
  • Zanos TP; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Hempstead, NY, 11549, USA.
Nat Commun ; 13(1): 6812, 2022 11 10.
Article em En | MEDLINE | ID: mdl-36357420

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos