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Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks
BACKGROUND: Time series models can play an important role in disease prediction. Incidence data can be used to predict the future occurrence of disease events. Developments in modeling approaches provide an opportunity to compare different time series models for predictive power. RESULTS: We applied...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4152592/ https://ncbi.nlm.nih.gov/pubmed/25123979 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-276 |
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