Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning

R.R. van de Leur, H. Bleijendaal, K. Taha, T. Mast, J.M.I.H. Gho, M. Linschoten, B. van Rees, M.T.H.M. Henkens, S. Heymans, N. Sturkenboom, R.A. Tio, J.A. Offerhaus, W.L. Bor, M. Maarse, H.E. Haerkens-Arends, M.Z.H. Kolk, A.C.J. van der Lingen, J.J. Selder, E.E. Wierda, P.F.M.M. van BergenM.M. Winter, A.H. Zwinderman, P.A. Doevendans, P. van der Harst, Y.M. Pinto, F.W. Asselbergs, R. van Es, F.V.Y. Tjong*, CAPACITY-COVID collaborative consortium

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)312-318
Number of pages7
JournalNetherlands Heart Journal
Volume30
Issue number6
Early online date17 Mar 2022
DOIs
Publication statusPublished - Jun 2022

Keywords

  • COVID-19
  • Electrocardiogram
  • Machine learning
  • Deep learning
  • Arrhythmia
  • Mortality
  • CARDIOLOGIST

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