Data-driven test strategy for COVID-19 using machine learning: A study in Lahore, Pakistan

AIMS: We aimed at giving a preliminary analysis of the weakness of a current test strategy, and proposing a data-driven strategy that was self-adaptive to the dynamic change of pandemic. The effect of driven-data selection over time and space was also within the deep concern. METHODS: A mathematical...

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Detalles Bibliográficos
Autores principales: Huang, Chuanli, Wang, Min, Rafaqat, Warda, Shabbir, Salman, Lian, Liping, Zhang, Jun, Lo, Siuming, Song, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184360/
https://www.ncbi.nlm.nih.gov/pubmed/34121777
http://dx.doi.org/10.1016/j.seps.2021.101091

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184360/
https://www.ncbi.nlm.nih.gov/pubmed/34121777
http://dx.doi.org/10.1016/j.seps.2021.101091

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