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Transfer learning artificial intelligence for automated detection of atrial fibrillation in patients undergoing evaluation for suspected obstructive sleep apnoea: a feasibility study.
Gahungu, Nestor; Shariar, Afsin; Playford, David; Judkins, Christopher; Gabbay, Eli.
Afiliação
  • Gahungu N; School of Medicine, The University of Notre Dame Australia, 21 Henry St., Fremantle, WA, 6160, Australia; Department of Medicine, Royal Perth Hospital, 197 Wellington Street, Perth, WA, 6000, Australia. Electronic address: nestor.gahungu@gmail.com.
  • Shariar A; Department of Medicine, Royal Perth Hospital, 197 Wellington Street, Perth, WA, 6000, Australia.
  • Playford D; School of Medicine, The University of Notre Dame Australia, 21 Henry St., Fremantle, WA, 6160, Australia.
  • Judkins C; School of Medicine, The University of Notre Dame Australia, 21 Henry St., Fremantle, WA, 6160, Australia; Department of Cardiology, Mount Hospital, 150 Mounts Bay Rd, Perth, WA, 6000, Australia.
  • Gabbay E; School of Medicine, The University of Notre Dame Australia, 21 Henry St., Fremantle, WA, 6160, Australia; Bendat Respiratory Research and Development Fund, SJOG Subiaco, WA, 6008, Australia.
Sleep Med ; 85: 166-171, 2021 09.
Article em En | MEDLINE | ID: mdl-34340198
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Apneia Obstrutiva do Sono Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fibrilação Atrial / Apneia Obstrutiva do Sono Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article