Discovering optimal strategies for mitigating COVID-19 spread using machine learning: Experience from Asia

To inform data-driven decisions in fighting the global pandemic caused by COVID-19, this research develops a spatiotemporal analysis framework under the combination of an ensemble model (random forest regression) and a multi-objective optimization algorithm (NSGA-II). It has been verified for four A...

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Detalles Bibliográficos
Autores principales: Pan, Yue, Zhang, Limao, Yan, Zhenzhen, Lwin, May O., Skibniewski, Miroslaw J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362659/
https://www.ncbi.nlm.nih.gov/pubmed/34414067
http://dx.doi.org/10.1016/j.scs.2021.103254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362659/
https://www.ncbi.nlm.nih.gov/pubmed/34414067
http://dx.doi.org/10.1016/j.scs.2021.103254

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