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Prediction of HFMD Cases by Leveraging Time Series Decomposition and Local Fusion

Ziyang Wang, Zhijin Wang, Yingxian Lin, Jinming Liu, Yonggang Fu, Peisong Zhang, Bing Cai, Philippe Fournier-Viger
<span title="2021-05-13">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6o4hgxplrbehxg4t53ub7zmfha" style="color: black;">Wireless Communications and Mobile Computing</a> </i> &nbsp;
In this paper, a novel method combined time series composition and local fusion has been proposed. The Empirical Mode Decomposition (EMD) method is used to decompose HFMD outpatient time series.  ...  HFMD still poses a threat to the lives and health of children and adolescents. An effective prediction model would be very helpful to HFMD control and prevention.  ...  JAT200277 and JAT200232), and the Natural Science Foundation of Fujian Province (CN) (no. 2019J01713).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/5514743">doi:10.1155/2021/5514743</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wyo7od2osrbj3a2c7rcfah4igy">fatcat:wyo7od2osrbj3a2c7rcfah4igy</a> </span>
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