Adaptively temporal graph convolution model for epidemic prediction of multiple age groups

INTRODUCTION: Multivariate time series prediction of infectious diseases is significant to public health, and the deep learning method has attracted increasing attention in this research field. MATERIAL AND METHODS: An adaptively temporal graph convolution (ATGCN) model, which learns the contact pat...

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Detalles Bibliográficos
Autores principales: Wang, Yuejiao, Zeng, Dajun Daniel, Zhang, Qingpeng, Zhao, Pengfei, Wang, Xiaoli, Wang, Quanyi, Luo, Yin, Cao, Zhidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349400/
http://dx.doi.org/10.1016/j.fmre.2021.07.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349400/
http://dx.doi.org/10.1016/j.fmre.2021.07.007

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