Prediction of Acute Respiratory Failure Requiring Advanced Respiratory Support in Advance of Interventions and Treatment: A Multivariable Prediction Model From Electronic Medical Record Data.

Wong, An-Kwok I; Kamaleswaran, Rishikesan; Tabaie, Azade; Reyna, Matthew A; Josef, Christopher; Robichaux, Chad; de Hond, Anne A H; Steyerberg, Ewout W; Holder, Andre L; Nemati, Shamim; Buchman, Timothy G; Blum, James M

Wong, An-Kwok I; Kamaleswaran, Rishikesan; Tabaie, Azade; Reyna, Matthew A; Josef, Christopher; Robichaux, Chad; de Hond, Anne A H; Steyerberg, Ewout W; Holder, Andre L; Nemati, Shamim; Buchman, Timothy G; Blum, James M.

Afiliación

Wong AI; Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA.
Kamaleswaran R; Department of Biomedical Informatics, Emory University, Atlanta, GA.
Tabaie A; Department of Biomedical Informatics, Emory University, Atlanta, GA.
Reyna MA; Department of Biomedical Informatics, Emory University, Atlanta, GA.
Josef C; Department of Biomedical Informatics, Emory University, Atlanta, GA.
Robichaux C; Department of Biomedical Informatics, Emory University, Atlanta, GA.
de Hond AAH; Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.
Steyerberg EW; Department of Information Technology and Digital Innovation, Leiden University Medical Centre, Leiden, The Netherlands.
Holder AL; Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.
Nemati S; Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA.
Buchman TG; Department of Biomedical Informatics, University of California San Diego, San Diego, CA.
Blum JM; Department of Surgery, Emory University, Atlanta, GA.

Crit Care Explor ; 3(5): e0402, 2021 May.

Article en En | MEDLINE | ID: mdl-34079945

Palabras clave

acute respiratory failure; data mining; early warning scores; electronic health records; machine learning; prediction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Crit Care Explor Año: 2021 Tipo del documento: Article País de afiliación: Gabón Pais de publicación: Estados Unidos

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