A comparative study on predicting influenza outbreaks using different feature spaces: application of influenza-like illness data from Early Warning Alert and Response System in Syria

OBJECTIVE: An accurate forecasting of outbreaks of influenza-like illness (ILI) could support public health officials to suggest public health actions earlier. We investigated the performance of three different feature spaces in different models to forecast the weekly ILI rate in Syria using EWARS d...

Descripción completa

Detalles Bibliográficos
Autores principales: Darwish, Ali, Rahhal, Yasser, Jafar, Assef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964210/
https://www.ncbi.nlm.nih.gov/pubmed/31948473
http://dx.doi.org/10.1186/s13104-020-4889-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6964210/
https://www.ncbi.nlm.nih.gov/pubmed/31948473
http://dx.doi.org/10.1186/s13104-020-4889-5

Ejemplares similares