Predicting COVID-19 positivity and hospitalization with multi-scale graph neural networks

The pandemic of COVID-19 is undoubtedly one of the biggest challenges for modern healthcare. In order to analyze the spatio-temporal aspects of the spread of COVID-19, technology has helped us to track, identify and store information regarding positivity and hospitalization, across different levels...

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Detalles Bibliográficos
Autores principales: Skianis, Konstantinos, Nikolentzos, Giannis, Gallix, Benoit, Thiebaut, Rodolphe, Exarchakis, Georgios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066232/
https://www.ncbi.nlm.nih.gov/pubmed/37002271
http://dx.doi.org/10.1038/s41598-023-31222-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066232/
https://www.ncbi.nlm.nih.gov/pubmed/37002271
http://dx.doi.org/10.1038/s41598-023-31222-6

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