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Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications.
Rjoob, Khaled; Bond, Raymond; Finlay, Dewar; McGilligan, Victoria; Leslie, Stephen J; Rababah, Ali; Iftikhar, Aleeha; Guldenring, Daniel; Knoery, Charles; McShane, Anne; Peace, Aaron; Macfarlane, Peter W.
Afiliação
  • Rjoob K; Faculty of Computing, Engineering & Built Environment, Ulster University, Northern Ireland, UK. Electronic address: rjoob-k@ulster.ac.uk.
  • Bond R; Faculty of Computing, Engineering & Built Environment, Ulster University, Northern Ireland, UK.
  • Finlay D; Faculty of Computing, Engineering & Built Environment, Ulster University, Northern Ireland, UK.
  • McGilligan V; Faculty of Life & Health Sciences, Centre for Personalised Medicine, Ulster University, Northern Ireland, UK.
  • Leslie SJ; Department of Diabetes & Cardiovascular Science, University of the Highlands and Islands, Centre for Health Science, Inverness, UK.
  • Rababah A; Faculty of Computing, Engineering & Built Environment, Ulster University, Northern Ireland, UK.
  • Iftikhar A; Faculty of Computing, Engineering & Built Environment, Ulster University, Northern Ireland, UK.
  • Guldenring D; Faculty of Computing, Engineering & Built Environment, Ulster University, Northern Ireland, UK; HTW Berlin, Wilhelminenhofstr. 75A, 12459 Berlin, Germany.
  • Knoery C; Department of Diabetes & Cardiovascular Science, University of the Highlands and Islands, Centre for Health Science, Inverness, UK.
  • McShane A; Emergency Department, Letterkenny University Hospital, Donegal, Ireland.
  • Peace A; Western Health and Social Care Trust, C-TRIC, Ulster University, Northern Ireland, UK.
  • Macfarlane PW; Institute of Health and Wellbeing, University of Glasgow, UK.
Artif Intell Med ; 132: 102381, 2022 10.
Article em En | MEDLINE | ID: mdl-36207087
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Benchmarking Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Benchmarking Idioma: En Ano de publicação: 2022 Tipo de documento: Article