Biventricular imaging markers to predict outcomes in non‐compaction cardiomyopathy: a machine learning study

Biventricular imaging markers to predict outcomes in non‐compaction cardiomyopathy: a machine learning study

Abstract Aims Left ventricular non‐compaction cardiomyopathy (LVNC) is a genetic heart disease, with heart failure, arrhythmias, and embolic events as main clinical manifestations. The goal of this study was to analyse a large set of echocardiographic (echo) and cardiac magnetic resonance imaging (C...

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Bibliographic Details
Main Authors: Camila Rocon, Mahdi Tabassian, Marcelo Dantas Tavares de Melo, Jose Arimateia deAraujo Filho, Cesar José Grupi, Jose Rodrigues Parga Filho, Edimar Alcides Bocchi, Jan D'hooge, Vera Maria Cury Salemi
Format: Article
Language:English
Published: Wiley 2020-10-01
Series:ESC Heart Failure
Subjects:
Cardiomyopathy
Echocardiography
Follow‐up
Machine learning
Magnetic resonance imaging
Non‐compaction
Online Access:https://doi.org/10.1002/ehf2.12795

Internet

https://doi.org/10.1002/ehf2.12795

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