Predicting influenza with pandemic-awareness via Dynamic Virtual Graph Significance Networks.

Zhang, Jie; Zhou, Pengfei; Zheng, Yijia; Wu, Hongyan

Zhang, Jie; Zhou, Pengfei; Zheng, Yijia; Wu, Hongyan.

Afiliação

Zhang J; Department of Smart Health, SenseTime, Shanghai, CN, 200233, China. Electronic address: stzhangjie@hotmail.com.
Zhou P; Department of Smart Health, SenseTime, Shanghai, CN, 200233, China. Electronic address: zhoupf@st.btbu.edu.cn.
Zheng Y; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, CN, 518055, China. Electronic address: yj.zheng@siat.ac.cn.
Wu H; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, CN, 518055, China. Electronic address: hy.wu@siat.ac.cn.

Comput Biol Med ; 158: 106807, 2023 05.

Article em En | MEDLINE | ID: mdl-37001208

Assuntos

Influenza Humana; Humanos; Influenza Humana/epidemiologia; Pandemias; Algoritmos; Hospitais; Aprendizagem

Palavras-chave

Dynamic virtual graph; Graph neural networks; Influenza prediction; Representation learning; Time series

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Influenza Humana Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

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PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Influenza Humana Idioma: En Ano de publicação: 2023 Tipo de documento: Article