Quantifying deep neural network uncertainty for atrial fibrillation detection with limited labels.

Chen, Brian; Javadi, Golara; Hamilton, Alexander; Sibley, Stephanie; Laird, Philip; Abolmaesumi, Purang; Maslove, David; Mousavi, Parvin

Chen, Brian; Javadi, Golara; Hamilton, Alexander; Sibley, Stephanie; Laird, Philip; Abolmaesumi, Purang; Maslove, David; Mousavi, Parvin.

Afiliação

Chen B; School of Computing, Queen's University, Kingston, ON, Canada.
Javadi G; Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada.
Hamilton A; School of Computing, Queen's University, Kingston, ON, Canada.
Sibley S; Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada.
Laird P; Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada.
Abolmaesumi P; Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada.
Maslove D; Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada.
Mousavi P; School of Computing, Queen's University, Kingston, ON, Canada. mousavi@queensu.ca.

Sci Rep ; 12(1): 20140, 2022 11 22.

Article em En | MEDLINE | ID: mdl-36418604

Assuntos

Fibrilação Atrial; Humanos; Fibrilação Atrial/diagnóstico; Incerteza; Redes Neurais de Computação; Eletrocardiografia; Aprendizado de Máquina

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fibrilação Atrial Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article

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