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End-to-end risk prediction of atrial fibrillation from the 12-Lead ECG by deep neural networks.
Habineza, Theogene; Ribeiro, Antônio H; Gedon, Daniel; Behar, Joachim A; Ribeiro, Antonio Luiz P; Schön, Thomas B.
Afiliação
  • Habineza T; Department of Information Technology, Uppsala University, Sweden.
  • Ribeiro AH; Department of Information Technology, Uppsala University, Sweden. Electronic address: antonio.horta.ribeiro@it.uu.se.
  • Gedon D; Department of Information Technology, Uppsala University, Sweden.
  • Behar JA; Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Israel.
  • Ribeiro ALP; Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais-UFMG, Brazil.
  • Schön TB; Department of Information Technology, Uppsala University, Sweden.
J Electrocardiol ; 81: 193-200, 2023.
Article em En | MEDLINE | ID: mdl-37774529
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fibrilação Atrial Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies 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: Fibrilação Atrial Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article