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...

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Detalles Bibliográficos
Autores principales: Ye, Guo-hua, Alim, Mirxat, Guan, Peng, Huang, De-sheng, Zhou, Bao-sen, Wu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
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

Internet

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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