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...
Guardado en:
Autores principales: | 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 |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/da14c3b27e7547969392b4a11ffd1ef0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
First experience with the Edwards SAPIEN transcatheter aortic valve implantation (TAVI). Data from the Western Cape, South Africa
por: Hellmuth Weich, et al.
Publicado: (2017) -
Multislice computer tomography (MSCT) for the optimisation of transcatheter aortic valve implantation (TAVI)
por: Carl J. Schultz, et al.
Publicado: (2017) -
Spotlight on the SAPIEN 3 transcatheter heart valve
por: Rheude T, et al.
Publicado: (2018) -
Functionality and Outcome in Older Patients with Severe Aortic Stenosis (FOOPAS): an interdisciplinary study concept for a prospective trial
por: Vogt F, et al.
Publicado: (2018) -
Acute kidney injury after transcatheter aortic valve replacement in the elderly: outcomes and risk management
por: Zaleska-Kociecka M, et al.
Publicado: (2019)