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Machine Learning–Based Phenogrouping in MVP Identifies Profiles Associated With Myocardial Fibrosis and Cardiovascular Events

Olivier Huttin, Nicolas Girerd, Antoine Jobbé‐Duval, Anne-Laure Constant Dit Beaufils, Thomas Sénage, Laura Filippetti, Caroline Cueff, Kévin Duarte, Antoine Fraix, Nicolas Piriou, Damien Mandry, Nathalie Pace, Solena Le Scouarnec, Romain Capoulade, Matthieu Echivard, Jean‐Marc Sellal, Marie Marrec, Marine Beaumont, G. Hossu, Jean‐Noël Trochu, Nicolas Sadoul, Pierre‐Yves Marie, Charles Guénancia, Jean‐Jacques Schott, Jean‐Christian Roussel, Jean‐Michel Serfaty, Christine Selton‐Suty, Thierry Le Tourneau

2023JACC. Cardiovascular imaging24 citationsDOIOpen Access PDF

Topics & Concepts

MedicineInternal medicineCardiologyMyocardial fibrosisFibrosisHeart failureCluster (spacecraft)Magnetic resonance imagingRadiologyComputer scienceProgramming languageCardiac Valve Diseases and TreatmentsCardiovascular Function and Risk FactorsCardiac Imaging and Diagnostics
Machine Learning–Based Phenogrouping in MVP Identifies Profiles Associated With Myocardial Fibrosis and Cardiovascular Events | Litcius