Machine Learning for Predicting Mortality in Transcatheter Aortic Valve Implantation: An Inter-Center Cross Validation Study

Machine Learning for Predicting Mortality in Transcatheter Aortic Valve Implantation: An Inter-Center Cross Validation Study

Current prognostic risk scores for transcatheter aortic valve implantation (TAVI) do not benefit yet from modern machine learning techniques, which can improve risk stratification of one-year mortality of patients before TAVI. Despite the advancement of machine learning in healthcare, data sharing r...

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Bibliographic Details
Main Authors: Marco Mamprin, Ricardo R. Lopes, Jo M. Zelis, Pim A. L. Tonino, Martijn S. van Mourik, Marije M. Vis, Svitlana Zinger, Bas A. J. M. de Mol, Peter H. N. de With
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Journal of Cardiovascular Development and Disease
Subjects:
aortic valve disease
machine learning
inter-center cross-validation
one-year mortality prediction
outcome prediction
prognosis
Online Access:https://www.mdpi.com/2308-3425/8/6/65

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https://www.mdpi.com/2308-3425/8/6/65

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