Time series model for forecasting the number of new admission inpatients

BACKGROUND: Hospital crowding is a rising problem, effective predicting and detecting managment can helpful to reduce crowding. Our team has successfully proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and the nonlinear autoregressive neural network (NARNN...

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Detalles Bibliográficos
Autores principales: Zhou, Lingling, Zhao, Ping, Wu, Dongdong, Cheng, Cheng, Huang, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003180/
https://www.ncbi.nlm.nih.gov/pubmed/29907102
http://dx.doi.org/10.1186/s12911-018-0616-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003180/
https://www.ncbi.nlm.nih.gov/pubmed/29907102
http://dx.doi.org/10.1186/s12911-018-0616-8

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