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Analysis and prediction of hand, foot and mouth disease incidence in China using Random Forest and XGBoost
Hand, foot and mouth disease (HFMD) is an increasingly serious public health problem, and it has caused an outbreak in China every year since 2008. Predicting the incidence of HFMD and analyzing its influential factors are of great significance to its prevention. Now, machine learning has shown adva...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8694472/ https://www.ncbi.nlm.nih.gov/pubmed/34936688 http://dx.doi.org/10.1371/journal.pone.0261629 |