Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China

BACKGROUND: Hepatitis is a serious public health problem with increasing cases and property damage in Heng County. It is necessary to develop a model to predict the hepatitis epidemic that could be useful for preventing this disease. METHODS: The autoregressive integrated moving average (ARIMA) mode...

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Detalles Bibliográficos
Autores principales: Wei, Wudi, Jiang, Junjun, Liang, Hao, Gao, Lian, Liang, Bingyu, Huang, Jiegang, Zang, Ning, Liao, Yanyan, Yu, Jun, Lai, Jingzhen, Qin, Fengxiang, Su, Jinming, Ye, Li, Chen, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4892637/
https://www.ncbi.nlm.nih.gov/pubmed/27258555
http://dx.doi.org/10.1371/journal.pone.0156768

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4892637/
https://www.ncbi.nlm.nih.gov/pubmed/27258555
http://dx.doi.org/10.1371/journal.pone.0156768

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