Comparison of parametric and nonparametric methods for outcome prediction using longitudinal data after cardiac arrest.

Elmer, Jonathan; Jones, Bobby L; Nagin, Daniel S

Elmer, Jonathan; Jones, Bobby L; Nagin, Daniel S.

Afiliación

Elmer J; Departments of Emergency Medicine, Critical Care Medicine and Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: elmerjp@upmc.edu.
Jones BL; Western Psychiatric Institute and Clinic of UPMC, Pittsburgh, PA, USA.
Nagin DS; Heinz College, Carnegie Mellon University, Pittsburgh, PA, USA.

Resuscitation ; 148: 152-160, 2020 03 01.

Article en En | MEDLINE | ID: mdl-32004661

Asunto(s)

Paro Cardíaco; Teorema de Bayes; Coma/diagnóstico; Coma/etiología; Electroencefalografía; Paro Cardíaco/terapia; Humanos; Pronóstico

Palabras clave

Analytics; Cardiac arrest; Data; Electroencephalography; Precision medicine; Prognostication

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Paro Cardíaco Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Resuscitation Año: 2020 Tipo del documento: Article

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