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Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning.
Naderi, Hafiz; Ramírez, Julia; van Duijvenboden, Stefan; Pujadas, Esmeralda Ruiz; Aung, Nay; Wang, Lin; Anwar Ahmed Chahal, Choudhary; Lekadir, Karim; Petersen, Steffen E; Munroe, Patricia B.
Affiliation
  • Naderi H; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
  • Ramírez J; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.
  • van Duijvenboden S; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
  • Pujadas ER; Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain.
  • Aung N; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
  • Wang L; Big Data Institute, La Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
  • Anwar Ahmed Chahal C; Faculty of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain.
  • Lekadir K; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
  • Petersen SE; National Institute of Health and Care Research Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
  • Munroe PB; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.
Eur Heart J Digit Health ; 4(4): 316-324, 2023 Aug.
Article in En | MEDLINE | ID: mdl-37538142
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Eur Heart J Digit Health Year: 2023 Document type: Article Affiliation country: Country of publication:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Eur Heart J Digit Health Year: 2023 Document type: Article Affiliation country: Country of publication: