Ethical Considerations Related to Using Machine Learning-Based Prediction of Mortality in the Pediatric Intensive Care Unit.

Michelson, Kelly N; Klugman, Craig M; Kho, Abel N; Gerke, Sara

Michelson, Kelly N; Klugman, Craig M; Kho, Abel N; Gerke, Sara.

Afiliação

Michelson KN; Division of Pediatric Critical Care Medicine, Department of Pediatrics, Center for Bioethics and Medical Humanities, Institute for Augmented Intelligence in Medicine (I.AIM) and Institute for Public Health and Medicine (IPHAM), Chicago, IL. Electronic address: kmichelson@luriechildrens.org.
Klugman CM; Department of Health Sciences, DePaul University, Chicago, IL.
Kho AN; Departments of Medicine and Preventive Medicine, Center for Health Information Partnerships, Institute for Augmented Intelligence in Medicine (I.AIM) and Institute for Public Health and Medicine (IPHAM), Northwestern Feinberg School of Medicine, Chicago, IL.
Gerke S; Penn State Dickinson Law, Carlisle, PA.

J Pediatr ; 247: 125-128, 2022 08.

Article em En | MEDLINE | ID: mdl-35038439

Assuntos

Unidades de Terapia Intensiva Pediátrica; Aprendizado de Máquina; Criança; Humanos; Unidades de Terapia Intensiva

Palavras-chave

artificial intelligence; bioethics; intensive care medicine; machine learning; pediatrics; predictive analytics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Unidades de Terapia Intensiva Pediátrica / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: J Pediatr Ano de publicação: 2022 Tipo de documento: Article

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