STG-Net: A COVID-19 prediction network based on multivariate spatio-temporal information.

Song, Yucheng; Chen, Huaiyi; Song, Xiaomeng; Liao, Zhifang; Zhang, Yan

Song, Yucheng; Chen, Huaiyi; Song, Xiaomeng; Liao, Zhifang; Zhang, Yan.

Afiliación

Song Y; School of Computer Science and Engineering, Central South University, Changsha 410083, China.
Chen H; School of Computer Science and Engineering, Central South University, Changsha 410083, China.
Song X; School of Computer Science and Engineering, Central South University, Changsha 410083, China.
Liao Z; School of Computer Science and Engineering, Central South University, Changsha 410083, China.
Zhang Y; Department of Computing, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK.

Biomed Signal Process Control ; 84: 104735, 2023 Jul.

Article en En | MEDLINE | ID: mdl-36875288

Palabras clave

COVID-19; Confirmed cases forecasting; Deep learning; STG-Net; Spatial information; Time series

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biomed Signal Process Control Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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