Machine learning prediction of progressive subclinical myocardial dysfunction in moderate aortic stenosis

Machine learning prediction of progressive subclinical myocardial dysfunction in moderate aortic stenosis

BackgroundModerate severity aortic stenosis (AS) is poorly understood, is associated with subclinical myocardial dysfunction, and can lead to adverse outcome rates that are comparable to severe AS. Factors associated with progressive myocardial dysfunction in moderate AS are not well described. Arti...

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Bibliographic Details
Main Authors: Mayooran Namasivayam, Thomas Meredith, David W. M. Muller, David A. Roy, Andrew K. Roy, Jason C. Kovacic, Christopher S. Hayward, Michael P. Feneley
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
aortic stenosis
echocadiography
machine learning
LV dysfunction
neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1153814/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1153814/full

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