Cargando…
Federated learning for describing COVID-19 patients and hospital outcomes: An unCoVer analysis: José L Peñalvo
BACKGROUND: Since the onset of the pandemic, the unCoVer network has been identifying real-world data from EMR of hospitalised patients with COVID-19 across countries. These heterogeneous data are integrated into a multi-user data repository operated through Opal/DataSHIELD, an interoperable open-so...
Autores principales: | Peñalvo, JL, Mertens, E, Cottam, J, Berrozpe-Maldonado, V, Fernández-Lobón, D, Solarte-Pabón, O, Menasalvas, E |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9594618/ http://dx.doi.org/10.1093/eurpub/ckac131.254 |
Ejemplares similares
-
Comparing health insurance and survey data in estimating prevalence of chronic diseases
por: Mertens, E, et al.
Publicado: (2022) -
Associations of pre-existing comorbidities and COVID-19 in-hospital mortality: an unCoVer analyses
por: Mertens, E, et al.
Publicado: (2022) -
Validation of cardiovascular risk prediction in Type 2 diabetes through federated cohorts in Europe
por: Carinci, F, et al.
Publicado: (2022) -
Congenital malformations registered in the Federation of Bosnia and Herzegovina 2019-2021
por: Cilović-Lagarija, Š, et al.
Publicado: (2023) -
Burden of road traffic injuries in Federation of Bosnia and Herzegovina – fifteen-year survey
por: Cilović-Lagarija, Š, et al.
Publicado: (2022)