Phenotypic clustering of dilated cardiomyopathy patients highlights important pathophysiological differences

J.A.J. Verdonschot, M. Merlo, F. Dominguez, P. Wang, M.T.H.M. Henkens, M.E. Adriaens, M.R. Hazebroek, M. Mase, L.E. Escobar, R. Cobas-Paz, K.W.J. Derks, A. van den Wijngaard, I.P.C. Krapels, H.G. Brunner, G. Sinagra, P. Garcia-Pavia, S.R.B. Heymans*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Web of Science)
Original languageEnglish
Pages (from-to)162-174
Number of pages14
JournalEuropean Heart Journal
Volume42
Issue number2
DOIs
Publication statusPublished - 7 Jan 2021

Keywords

  • clustering
  • dilated cardiomyopathy
  • machine learning
  • pathophysiology
  • Dilated cardiomyopathy
  • Pathophysiology
  • Machine learning
  • Clustering

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