Study of the influence of meteorological factors on HFMD and prediction based on the LSTM algorithm in Fuzhou, China

BACKGROUND: This study adopted complete meteorological indicators, including eight items, to explore their impact on hand, foot, and mouth disease (HFMD) in Fuzhou, and predict the incidence of HFMD through the long short-term memory (LSTM) neural network algorithm of artificial intelligence. METHOD...

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Detalles Bibliográficos
Autores principales: Zhu, Hansong, Chen, Si, Liang, Rui, Feng, Yulin, Joldosh, Aynur, Xie, Zhonghang, Chen, Guangmin, Li, Lingfang, Chen, Kaizhi, Fang, Yuanyuan, Ou, Jianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161995/
https://www.ncbi.nlm.nih.gov/pubmed/37147566
http://dx.doi.org/10.1186/s12879-023-08184-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161995/
https://www.ncbi.nlm.nih.gov/pubmed/37147566
http://dx.doi.org/10.1186/s12879-023-08184-1

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