Forecasting incidence of infectious diarrhea using random forest in Jiangsu Province, China

BACKGROUND: Infectious diarrhea can lead to a considerable global disease burden. Thus, the accurate prediction of an infectious diarrhea epidemic is crucial for public health authorities. This study was aimed at developing an optimal random forest (RF) model, considering meteorological factors used...

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Detalles Bibliográficos
Autores principales: Fang, Xinyu, Liu, Wendong, Ai, Jing, He, Mike, Wu, Ying, Shi, Yingying, Shen, Wenqi, Bao, Changjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071679/
https://www.ncbi.nlm.nih.gov/pubmed/32171261
http://dx.doi.org/10.1186/s12879-020-4930-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071679/
https://www.ncbi.nlm.nih.gov/pubmed/32171261
http://dx.doi.org/10.1186/s12879-020-4930-2

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