A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning

A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning

Abstract Background The prediction of coronavirus disease in 2019 (COVID-19) in broader regions has been widely researched, but for specific areas such as urban areas the predictive models were rarely studied. It may be inaccurate to apply predictive models from a broad region directly to a small ar...

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Bibliographic Details
Main Authors: Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Research Methodology
Subjects:
COVID-19
Time series
Deep learning
LSTM
Transfer learning
Online Access:https://doi.org/10.1186/s12874-024-02433-w
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https://doi.org/10.1186/s12874-024-02433-w

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