Cargando…
Dual-attention-based recurrent neural network for hand-foot-mouth disease prediction in Korea
Hand–foot–mouth disease (HFMD) is a viral disease that occurs primarily in children. Meteorological factors have a significant impact on its popularity annually in Korea. This study proposes a new HFMD prediction model using a dual-attention-based recurrent neural network (DA-RNN) and important weat...
Autores principales: | Lee, Sieun, Kim, Sangil |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547784/ https://www.ncbi.nlm.nih.gov/pubmed/37789071 http://dx.doi.org/10.1038/s41598-023-43881-6 |
Ejemplares similares
-
Risk Factors for Neurologic Complications of Hand, Foot and Mouth Disease in the Republic of Korea, 2009
por: Kim, Seong Joon, et al.
Publicado: (2013) -
Effect of Climatic Factors on Hand, Foot, and Mouth Disease in South Korea, 2010-2013
por: Kim, Bryan Inho, et al.
Publicado: (2016) -
Epidemiology of Recurrent Hand, Foot and Mouth Disease, China, 2008–2015
por: Huang, Jiao, et al.
Publicado: (2018) -
Hand, foot, and mouth disease in an adult
por: Akkoyunlu, Yasemin, et al.
Publicado: (2014) -
Hand-Foot-Mouth Disease in an Adult
por: Gomes, Sara, et al.
Publicado: (2023)