Machine Learning to Predict Cardiac Death Within 1 Hour After Terminal Extubation.

Winter, Meredith C; Day, Travis E; Ledbetter, David R; Aczon, Melissa D; Newth, Christopher J L; Wetzel, Randall C; Ross, Patrick A

Winter, Meredith C; Day, Travis E; Ledbetter, David R; Aczon, Melissa D; Newth, Christopher J L; Wetzel, Randall C; Ross, Patrick A.

Afiliação

Winter MC; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA.
Day TE; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA.
Ledbetter DR; Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit, Los Angeles, CA.
Aczon MD; Department of Computer Science, University of Southern California Viterbi School of Engineering, Los Angeles, CA.
Newth CJL; Department of Pediatrics, University of Southern California Keck School of Medicine, Los Angeles, CA.
Wetzel RC; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA.
Ross PA; Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit, Los Angeles, CA.

Pediatr Crit Care Med ; 22(2): 161-171, 2021 02 01.

Article em En | MEDLINE | ID: mdl-33156210

Assuntos

Extubação; Obtenção de Tecidos e Órgãos; Adolescente; Adulto; Criança; Pré-Escolar; Morte; Humanos; Lactente; Recém-Nascido; Aprendizado de Máquina; Estudos Retrospectivos; Adulto Jovem

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Obtenção de Tecidos e Órgãos / Extubação Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Child, preschool / Humans / Infant / Newborn Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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