Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning

AIMS: Previous studies using regression analyses have failed to identify which patients with repaired tetralogy of Fallot (rTOF) are at risk for deterioration in ventricular size and function despite using common clinical and cardiac function parameters as well as cardiac mechanics (strain and dyssy...

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Detalhes bibliográficos
Publicado no:Eur Heart J Cardiovasc Imaging
Main Authors: Samad, Manar D, Wehner, Gregory J, Arbabshirani, Mohammad R, Jing, Linyuan, Powell, Andrew J, Geva, Tal, Haggerty, Christopher M, Fornwalt, Brandon K
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2018
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Original Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6012881/
https://ncbi.nlm.nih.gov/pubmed/29538684
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ehjci/jey003
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