STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

Accurate prediction of the transmission of epidemic diseases such as COVID-19 is crucial for implementing effective mitigation measures. In this work, we develop a tensor method to predict the evolution of epidemic trends for many regions simultaneously. We construct a 3-way spatio-temporal tensor (...

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Detalles Bibliográficos
Autores principales: Kargas, Nikos, Qian, Cheng, Sidiropoulos, Nicholas D., Xiao, Cao, Glass, Lucas M., Sun, Jimeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987089/
https://www.ncbi.nlm.nih.gov/pubmed/33758769

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987089/
https://www.ncbi.nlm.nih.gov/pubmed/33758769

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