Hospital daily outpatient visits forecasting using a combinatorial model based on ARIMA and SES models

BACKGROUND: Accurate forecasting of hospital outpatient visits is beneficial for the reasonable planning and allocation of healthcare resource to meet the medical demands. In terms of the multiple attributes of daily outpatient visits, such as randomness, cyclicity and trend, time series methods, AR...

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Detalles Bibliográficos
Autores principales: Luo, Li, Luo, Le, Zhang, Xinli, He, Xiaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504658/
https://www.ncbi.nlm.nih.gov/pubmed/28693579
http://dx.doi.org/10.1186/s12913-017-2407-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504658/
https://www.ncbi.nlm.nih.gov/pubmed/28693579
http://dx.doi.org/10.1186/s12913-017-2407-9

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