Increasing Cardiovascular Data Sampling Frequency and Referencing It to Baseline Improve Hemorrhage Detection.

Wertz, Anthony; Holder, Andre L; Guillame-Bert, Mathieu; Clermont, Gilles; Dubrawski, Artur; Pinsky, Michael R

Wertz, Anthony; Holder, Andre L; Guillame-Bert, Mathieu; Clermont, Gilles; Dubrawski, Artur; Pinsky, Michael R.

Afiliação

Wertz A; Auton Lab, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA.
Holder AL; Cardiopulmonary Research Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.
Guillame-Bert M; Auton Lab, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA.
Clermont G; Cardiopulmonary Research Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.
Dubrawski A; Auton Lab, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA.
Pinsky MR; Cardiopulmonary Research Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.

Crit Care Explor ; 1(10): e0058, 2019 Oct.

Article em En | MEDLINE | ID: mdl-32166238

Palavras-chave

animal model; hemodynamic monitoring; hemorrhage; machine learning; predictive models

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Crit Care Explor Ano de publicação: 2019 Tipo de documento: Article País de publicação: Estados Unidos

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