Medical service demand forecasting using a hybrid model based on ARIMA and self-adaptive filtering method

BACKGROUND: Accurate forecasting of medical service demand is beneficial for the reasonable healthcare resource planning and allocation. The daily outpatient volume is characterized by randomness, periodicity and trend, and the time series methods, like ARIMA are often used for short-term outpatient...

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Detalles Bibliográficos
Autores principales: Huang, Yihuai, Xu, Chao, Ji, Mengzhong, Xiang, Wei, He, Da
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501710/
https://www.ncbi.nlm.nih.gov/pubmed/32950059
http://dx.doi.org/10.1186/s12911-020-01256-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501710/
https://www.ncbi.nlm.nih.gov/pubmed/32950059
http://dx.doi.org/10.1186/s12911-020-01256-1

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