A machine learning framework for the evaluation of myocardial rotation in patients with noncompaction cardiomyopathy

AIMS: Noncompaction cardiomyopathy (NCC) is considered a genetic cardiomyopathy with unknown pathophysiological mechanisms. We propose to evaluate echocardiographic predictors for rigid body rotation (RBR) in NCC using a machine learning (ML) based model. METHODS AND RESULTS: Forty-nine outpatients...

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Detalles Bibliográficos
Autores principales: Tavares de Melo, Marcelo Dantas, Araujo-Filho, Jose de Arimatéia Batista, Barbosa, José Raimundo, Rocon, Camila, Miranda Regis, Carlos Danilo, dos Santos Felix, Alex, Kalil Filho, Roberto, Bocchi, Edimar Alcides, Hajjar, Ludhmila Abrahão, Tabassian, Mahdi, D’hooge, Jan, Salemi, Vera Maria Cury
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629285/
https://www.ncbi.nlm.nih.gov/pubmed/34843536
http://dx.doi.org/10.1371/journal.pone.0260195

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629285/
https://www.ncbi.nlm.nih.gov/pubmed/34843536
http://dx.doi.org/10.1371/journal.pone.0260195

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