A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning

The COVID-19 outbreak poses a huge challenge to international public health. Reliable forecast of the number of cases is of great significance to the planning of health resources and the investigation and evaluation of the epidemic situation. The data-driven machine learning models can adapt to comp...

Descripción completa

Detalles Bibliográficos
Autores principales: Jin, Weiqiu, Dong, Shuqing, Yu, Chengqing, Luo, Qingquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042415/
https://www.ncbi.nlm.nih.gov/pubmed/35551008
http://dx.doi.org/10.1016/j.compbiomed.2022.105560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042415/
https://www.ncbi.nlm.nih.gov/pubmed/35551008
http://dx.doi.org/10.1016/j.compbiomed.2022.105560

Ejemplares similares