A Machine Learning Classifier Improves Mortality Prediction Compared With Pediatric Logistic Organ Dysfunction-2 Score: Model Development and Validation.

Prince, Remi D; Akhondi-Asl, Alireza; Mehta, Nilesh M; Geva, Alon

Prince, Remi D; Akhondi-Asl, Alireza; Mehta, Nilesh M; Geva, Alon.

Afiliación

Prince RD; Tufts University School of Medicine, Boston, MA.
Akhondi-Asl A; Division of Critical Care Medicine, Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children's Hospital, Boston, MA.
Mehta NM; Division of Critical Care Medicine, Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children's Hospital, Boston, MA.
Geva A; Department of Anaesthesia, Harvard Medical School, Boston, MA.

Crit Care Explor ; 3(5): e0426, 2021 May.

Article en En | MEDLINE | ID: mdl-34036277

Palabras clave

epidemiologic methods; hospital mortality; intensive care units; machine learning; organ dysfunction scores; severity of illness index

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

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