Machine learning with electrocardiograms: A call for guidelines and best practices for 'stress testing' algorithms.

Bond, Raymond; Finlay, Dewar; Al-Zaiti, Salah Shafiq; Macfarlane, Peter

Bond, Raymond; Finlay, Dewar; Al-Zaiti, Salah Shafiq; Macfarlane, Peter.

Afiliação

Bond R; Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown Campus, Northern Ireland, UK. Electronic address: rb.bond@ulster.ac.uk.
Finlay D; Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown Campus, Northern Ireland, UK.
Al-Zaiti SS; School of Nursing, University of Pittsburgh, Pittsburgh, USA.
Macfarlane P; Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, UK.

J Electrocardiol ; 69S: 1-6, 2021.

Article em En | MEDLINE | ID: mdl-34340817

Assuntos

Algoritmos; Eletrocardiografia; Teste de Esforço; Humanos; Aprendizado de Máquina; Redes Neurais de Computação

Palavras-chave

Automated ECG interpretation; Call for guidelines; Deep learning; ECG; Machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Eletrocardiografia Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: J Electrocardiol Ano de publicação: 2021 Tipo de documento: Article País de publicação: Estados Unidos

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