A hybrid model for hand-foot-mouth disease prediction based on ARIMA-EEMD-LSTM

A hybrid model for hand-foot-mouth disease prediction based on ARIMA-EEMD-LSTM

Abstract Background Hand, foot, and mouth disease (HFMD) is a common infectious disease that poses a serious threat to children all over the world. However, the current prediction models for HFMD still require improvement in accuracy. In this study, we proposed a hybrid model based on autoregressive...

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Bibliographic Details
Main Authors: Yiran Wan, Ping Song, Jiangchen Liu, Ximing Xu, Xun Lei
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Infectious Diseases
Subjects:
EEMD
LSTM
Hybrid model
HFMD prediction
Online Access:https://doi.org/10.1186/s12879-023-08864-y

Internet

https://doi.org/10.1186/s12879-023-08864-y

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