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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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| Publicado en: | BMC Infect Dis |
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| Autores principales: | , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7071679/ https://ncbi.nlm.nih.gov/pubmed/32171261 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12879-020-4930-2 |
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