Rethinking Risk in Mitral Valve Prolapse: The Promise of Machine Learning and Multimodal Phenotyping

  • Jean Claude Deharo*
  • , Benjamin Essayagh
  • , Avi Sabbag
  • *Corresponding author for this work

Research output: Contribution to journalEditorial

Original languageEnglish
Pages (from-to)2187-2189
Number of pages3
JournalJACC: Clinical Electrophysiology
Volume11
Issue number10
DOIs
StatePublished - Oct 2025
Externally publishedYes

Keywords

  • arrhythmia
  • hierarchical clustering
  • machine learning
  • mitral valve prolapse

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