Prediction of the COVID-19 infectivity and the sustainable impact on public health under deep learning algorithm

The aim is to explore the development trend of COVID-19 (Corona Virus Disease 2019) and predict the infectivity of 2019-nCoV (2019 Novel Coronavirus), as well as its impact on public health. First, the existing data are analyzed through data pre-processing to extract useful feature factors. Then, th...

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Detalles Bibliográficos
Autores principales: Wang, Weiwei, Cai, Jinghui, Xu, Jiali, Wang, Yuxiang, Zou, Yulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Focus
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380005/
https://www.ncbi.nlm.nih.gov/pubmed/34456617
http://dx.doi.org/10.1007/s00500-021-06142-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380005/
https://www.ncbi.nlm.nih.gov/pubmed/34456617
http://dx.doi.org/10.1007/s00500-021-06142-0

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