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

Wang, Weiwei; Cai, Jinghui; Xu, Jiali; Wang, Yuxiang; Zou, Yulin

Wang, Weiwei; Cai, Jinghui; Xu, Jiali; Wang, Yuxiang; Zou, Yulin.

Afiliação

Wang W; College of Media and International Culture, Zhejiang University, Hangzhou, 310058 China.
Cai J; College of Information Science and Technology, Jinan University, Guangzhou, 510000 China.
Xu J; School of Mathematics, Shanghai University of Finance and Economics, Shanghai, 200433 China.
Wang Y; Whiting School of Engineering, Johns Hopkins University, Baltimore, 21218 USA.
Zou Y; The Third Clinical Medical College of China Three Gorges University, Gezhouba Central Hospital of Sinopharm, Yichang, 443002 China.

Soft comput ; 27(5): 2695-2704, 2023.

Article em En | MEDLINE | ID: mdl-34456617

Palavras-chave

2019-nCoV; Deep learning algorithm; Infectivity; Prediction model; Public health

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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