Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients

Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients

BackgroundLong-term mortality risk is seldom re-assessed in contemporary clinical practice following successful transcatheter aortic valve implantation (TAVR). Unsupervised machine learning permits pattern discovery within complex multidimensional patient data and may facilitate recognition of group...

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Bibliographic Details
Main Authors: Thomas Meredith, Farhan Mohammed, Amy Pomeroy, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Michael Feneley, Christopher Hayward, David Muller, Mayooran Namasivayam
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
aortic stenosis
machine learning
outcomes
cardiac imaging
transcatheter aortic valve replacement
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2025.1444658/full
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https://www.frontiersin.org/articles/10.3389/fcvm.2025.1444658/full

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