Comparison of early warning scores for sepsis early identification and prediction in the general ward setting.

Yu, Sean C; Shivakumar, Nirmala; Betthauser, Kevin; Gupta, Aditi; Lai, Albert M; Kollef, Marin H; Payne, Philip R O; Michelson, Andrew P

Yu, Sean C; Shivakumar, Nirmala; Betthauser, Kevin; Gupta, Aditi; Lai, Albert M; Kollef, Marin H; Payne, Philip R O; Michelson, Andrew P.

Afiliación

Yu SC; Institute for Informatics, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Shivakumar N; Department of Biomedical Engineering, Washington University School in St. Louis, St. Louis, Missouri, USA.
Betthauser K; Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Gupta A; Department of Pharmacy, Barnes-Jewish Hospital, St. Louis, Missouri, USA.
Lai AM; Institute for Informatics, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Kollef MH; Institute for Informatics, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Payne PRO; Division of Pulmonary and Critical Care, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Michelson AP; Institute for Informatics, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.

JAMIA Open ; 4(3): ooab062, 2021 Jul.

Article en En | MEDLINE | ID: mdl-34820600

Palabras clave

early warning score; predictive analytics; sepsis

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JAMIA Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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