Machine learning identifies pathophysiologically and prognostically informative phenotypes among patients with mitral regurgitation undergoing transcatheter edge-to-edge repair.
Trenkwalder T, Lachmann M, Stolz L, Fortmeier V, Covarrubias HAA, Rippen E, Schürmann F, Presch A, von Scheidt M, Ruff C, Hesse A, Gerçek M, Mayr NP, Ott I, Schuster T, Harmsen G, Yuasa S, Kufner S, Hoppmann P, Kupatt C, Schunkert H, Kastrati A, Laugwitz KL, Rudolph V, Joner M, Hausleiter J, Xhepa E.
Trenkwalder T, et al. Among authors: joner m.
Eur Heart J Cardiovasc Imaging. 2023 Apr 24;24(5):574-587. doi: 10.1093/ehjci/jead013.
Eur Heart J Cardiovasc Imaging. 2023.
PMID: 36735333