Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in Children-Reference-Cited by-同舟云学术

Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in Children

Published:2017-07-14 Issue:1 Volume:7 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Zhang Bin,Wan Xiang,Ouyang Fu-sheng,Dong Yu-hao,Luo De-hui,Liu Jing,Liang Long,Chen Wen-bo,Luo Xiao-ning,Mo Xiao-kai,Zhang Lu,Huang Wen-hui,Pei Shu-fang,Guo Bao-liang,Liang Chang-hong,Lian Zhou-yang,Zhang Shui-xing

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-017-05505-8.pdf

Reference35 articles.

1. Takahashi, S. et al. Hand, Foot, and Mouth Disease in China: Modeling Epidemic Dynamics of Enterovirus Serotypes and Implications for Vaccination. PLoS Med 13(2), e1001958 (2016).

2. Xing, W. et al. Hand, foot, and mouth disease in China, 2008-12: an epidemiological study. Lancet Infect Dis 14(4), 308 (2014).

3. Yang, T. et al. A case-control study of risk factors for severe hand-foot-mouth disease among children in Ningbo, China, 2010–2011. Eur J Pediatr 171(9), 1359 (2012).

4. Xu, W. et al. Distribution of enteroviruses in hospitalized children with hand, foot and mouth disease and relationship between pathogens and nervous system complications. Virol J 9, 8 (2012).

5. Wang, Y. et al. Hand, foot, and mouth disease in China: patterns of spread and transmissibility. Epidemiology 22(6), 781 (2011).

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