Application of a hybrid model in predicting the incidence of tuberculosis in a Chinese population

Objective: To investigate suitable forecasting models for tuberculosis (TB) in a Chinese population by comparing the predictive value of the autoregressive integrated moving average (ARIMA) model and the ARIMA-generalized regression neural network (GRNN) hybrid model. Methods: We used the monthly in...

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Detalles Bibliográficos
Autores principales: Li, Zhongqi, Wang, Zhizhong, Song, Huan, Liu, Qiao, He, Biyu, Shi, Peiyi, Ji, Ye, Xu, Dian, Wang, Jianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501557/
https://www.ncbi.nlm.nih.gov/pubmed/31118707
http://dx.doi.org/10.2147/IDR.S190418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501557/
https://www.ncbi.nlm.nih.gov/pubmed/31118707
http://dx.doi.org/10.2147/IDR.S190418

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