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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Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2024-12-01
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Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12874-024-02433-w |
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