Forecasting COVID-19 cases using time series modeling and association rule mining

BACKGROUND: The aim of this study was to evaluate the most effective combination of autoregressive integrated moving average (ARIMA), a time series model, and association rule mining (ARM) techniques to identify meaningful prognostic factors and predict the number of cases for efficient COVID-19 cri...

Descripción completa

Detalles Bibliográficos
Autores principales: Somyanonthanakul, Rachasak, Warin, Kritsasith, Amasiri, Watchara, Mairiang, Karicha, Mingmalairak, Chatchai, Panichkitkosolkul, Wararit, Silanun, Krittin, Theeramunkong, Thanaruk, Nitikraipot, Surapon, Suebnukarn, Siriwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624022/
https://www.ncbi.nlm.nih.gov/pubmed/36316659
http://dx.doi.org/10.1186/s12874-022-01755-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624022/
https://www.ncbi.nlm.nih.gov/pubmed/36316659
http://dx.doi.org/10.1186/s12874-022-01755-x

Ejemplares similares