Personalized Preoperative Prediction of the Length of Hospital Stay after TAVI Using a Dedicated Decision Tree Algorithm

Personalized Preoperative Prediction of the Length of Hospital Stay after TAVI Using a Dedicated Decision Tree Algorithm

Background: The aim of this study was to identify pre-operative parameters able to predict length of stay (LoS) based on clinical data and patient-reported outcome measures (PROMs) from a scorecard database in patients with significant aortic stenosis who underwent TAVI (transfemoral aortic valve im...

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Bibliographic Details
Main Authors: Maria Zisiopoulou, Alexander Berkowitsch, Ralf Neuber, Haralampos Gouveris, Stephan Fichtlscherer, Thomas Walther, Mariuca Vasa-Nicotera, Philipp Seppelt
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Journal of Personalized Medicine
Subjects:
prediction
patient-reported outcomes
aortic stenosis
TAVI
hospital length of stay
decision tree
Online Access:https://www.mdpi.com/2075-4426/12/3/346

Internet

https://www.mdpi.com/2075-4426/12/3/346

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