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Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach
OBJECTIVE: Hemorrhagic fever with renal syndrome (HFRS), one of the main public health concerns in mainland China, is a group of clinically similar diseases caused by hantaviruses. Statistical approaches have always been leveraged to forecast the future incidence rates of certain infectious diseases...
Autores principales: | Ye, Guo-hua, Alim, Mirxat, Guan, Peng, Huang, De-sheng, Zhou, Bao-sen, Wu, Wei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963064/ https://www.ncbi.nlm.nih.gov/pubmed/33725011 http://dx.doi.org/10.1371/journal.pone.0248597 |
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