Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning-Reference-Cited by-同舟云学术

Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning

Published:2022-02 Issue: Volume:141 Page:105147
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Franco Pamela,Sotelo Julio^ORCID,Guala Andrea^ORCID,Dux-Santoy Lydia^ORCID,Evangelista Arturo,Rodríguez-Palomares José,Mery Domingo,Salas Rodrigo^ORCID,Uribe Sergio

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference52 articles.

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4. Novel approaches for BAV aortopathy predition – is there a need for cohort studies and biomrakers?;Girdauskas;Biomolecules,2018

5. Increased rotational flow in the proximal aortic arch is associated with its dilation in bicuspid aortic valve disease;Dux-Santoy;Eur Heatr J - Cardiovasc Imaging,2019

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