A novel online multi-task learning for COVID-19 multi-output spatio-temporal prediction

In light of the ongoing COVID-19 pandemic, predicting its trend would significantly impact decision-making. However, this is not a straightforward task due to three main difficulties: temporal autocorrelation, spatial dependency, and concept drift caused by virus mutations and lockdown policies. Alt...

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Detalles Bibliográficos
Autores principales: Wu, Zipeng, Loo, Chu Kiong, Obaidellah, Unaizah, Pasupa, Kitsuchart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450863/
https://www.ncbi.nlm.nih.gov/pubmed/37636411
http://dx.doi.org/10.1016/j.heliyon.2023.e18771

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450863/
https://www.ncbi.nlm.nih.gov/pubmed/37636411
http://dx.doi.org/10.1016/j.heliyon.2023.e18771

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