Contribution of Cardiovascular Reserve to Prognostic Categories of Heart Failure With Preserved Ejection Fraction: A Classification Based on Machine Learning.

Journal: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
PMID: 30718020

Abstract

BACKGROUND: The authors used cluster analysis of data from cardiovascular domains associated with exercise intolerance to help define prognostic phenotypes of patients with heart failure with preserved ejection fraction (HFpEF).

Authors

  • Monika Przewlocka-Kosmala
    Cardiology Department, Wroclaw Medical University, Wroclaw, Poland; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia.
  • Thomas H Marwick
    Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia.
  • Andrzej Dabrowski
    Institute of Mathematics, Wroclaw University, Wroclaw, Poland.
  • Wojciech Kosmala
    Cardiology Department, Wroclaw Medical University, Wroclaw, Poland; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia. Electronic address: wojciech.kosmala@umed.wroc.pl.

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