Local and Distributed Machine Learning for Inter-hospital Data Utilization: An Application for TAVI Outcome Prediction

Local and Distributed Machine Learning for Inter-hospital Data Utilization: An Application for TAVI Outcome Prediction

Background: Machine learning models have been developed for numerous medical prognostic purposes. These models are commonly developed using data from single centers or regional registries. Including data from multiple centers improves robustness and accuracy of prognostic models. However, data shari...

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Main Authors: Ricardo R. Lopes, Marco Mamprin, 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, Henk A. Marquering
Format: article
Language:EN
Published: Frontiers Media S.A. 2021
Subjects:
transcatheter aortic valve implantation (TAVI)
outcome prediction
prognosis
mortality prediction
inter-center cross-validation
machine learning
Diseases of the circulatory (Cardiovascular) system
RC666-701
Online Access:https://doaj.org/article/da14c3b27e7547969392b4a11ffd1ef0
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https://doaj.org/article/da14c3b27e7547969392b4a11ffd1ef0

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