Bibliographic Details
| Title: |
Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine-learning Analysis Using a Multi-center Registry |
| Authors: |
Stefano Figliozzi, MD, Ralph Kwame Akyea, PhD, Pedro M Lopes, MD, Sara Moura-Ferreira, MD, Lara Tondi, MD, Saima Mushtaq, MD, Stefano Censi, Anna Giulia Pavon, MD, Ilaria Bassi, Laura Galian, Arco J Teske, Domenico Filomena, Camilla Torlasco, Pierre Monney, MD, Viviana Maestrini, MD, PhD, Patrizia Pedrotti, MD, Bert Vandenberk, Angelo Squeri, MD, Massimo Lombardi, MD, Juerg Schwitter, MD, PhD, Giovanni Donato Aquaro, Amedeo Chiribiri, PhD, MB, FSCMR, José F Rodríguez Palomares, Lorenzo Monti, MD, Ali Yilmaz, Daniele Andreini, Anca Florian, Marco Francone, MD, PhD, Gianluca Pontone, MD, PhD, Joao Abecassis, MD, Tim Leiner, MD, PhD, Luigi P Badano, Jan Bogaert, MD, PhD, Georgios Georgiopoulos, MD, PhD, MSc, Pier Giorgio Masci, MD |
| Source: |
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100961- (2024) |
| Publisher Information: |
Elsevier, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Diseases of the circulatory (Cardiovascular) system |
| Subject Terms: |
Diseases of the circulatory (Cardiovascular) system, RC666-701 |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1097-6647 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S1097664724009529; https://doaj.org/toc/1097-6647 |
| DOI: |
10.1016/j.jocmr.2024.100961 |
| Access URL: |
https://doaj.org/article/10e0f8ea20a84c62b0f4d0f32fa2b571 |
| Accession Number: |
edsdoj.10e0f8ea20a84c62b0f4d0f32fa2b571 |
| Database: |
Directory of Open Access Journals |
