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Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studies.
Kolk, Maarten Z H; Deb, Brototo; Ruipérez-Campillo, Samuel; Bhatia, Neil K; Clopton, Paul; Wilde, Arthur A M; Narayan, Sanjiv M; Knops, Reinoud E; Tjong, Fleur V Y.
Afiliação
  • Kolk MZH; Amsterdam UMC Location University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Heart failure & arrhythmias, Amsterdam, The Netherlands.
  • Deb B; Department of Medicine and Cardiovascular Institute, Stanford University, Stanford, CA, USA.
  • Ruipérez-Campillo S; Department of Medicine and Cardiovascular Institute, Stanford University, Stanford, CA, USA.
  • Bhatia NK; Department of Cardiology, Emory University, Atlanta, GA, USA.
  • Clopton P; Department of Medicine and Cardiovascular Institute, Stanford University, Stanford, CA, USA.
  • Wilde AAM; Amsterdam UMC Location University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Heart failure & arrhythmias, Amsterdam, The Netherlands.
  • Narayan SM; Department of Medicine and Cardiovascular Institute, Stanford University, Stanford, CA, USA.
  • Knops RE; Amsterdam UMC Location University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Heart failure & arrhythmias, Amsterdam, The Netherlands.
  • Tjong FVY; Amsterdam UMC Location University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Meibergdreef 9, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Heart failure & arrhythmias, Amsterdam, The Netherlands. Electronic address: f.v.tjong@amsterdamumc.nl.
EBioMedicine ; 89: 104462, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36773349
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arritmias Cardíacas / Morte Súbita Cardíaca Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arritmias Cardíacas / Morte Súbita Cardíaca Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article