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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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| Gepubliceerd in: | BMC Infect Dis |
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| Hoofdauteurs: | , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2020
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| Onderwerpen: | |
| Online toegang: | 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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