A Machine Learning Model for the Accurate Prediction of 1-Year Survival in TAVI Patients: A Retrospective Observational Cohort Study

A Machine Learning Model for the Accurate Prediction of 1-Year Survival in TAVI Patients: A Retrospective Observational Cohort Study

Background: predicting the 1-year survival of patients undergoing transcatheter aortic valve implantation (TAVI) is indispensable for managing safe early discharge strategies and resource optimization. Methods: Routinely acquired data (134 variables) were used from 629 patients, who underwent transf...

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Bibliographic Details
Main Authors: Francesco Pollari, Wolfgang Hitzl, Magnus Rottmann, Ferdinand Vogt, Miroslaw Ledwon, Christian Langhammer, Dennis Eckner, Jürgen Jessl, Thomas Bertsch, Matthias Pauschinger, Theodor Fischlein
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Journal of Clinical Medicine
Subjects:
personalized
TAVI
machine learning
prediction
outcome
survival
Online Access:https://www.mdpi.com/2077-0383/12/17/5481

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