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A Novel Matrix Profile-Guided Attention LSTM Model for Forecasting COVID-19 Cases in USA
Background: The outbreak of the novel coronavirus disease 2019 (COVID-19) has been raging around the world for more than 1 year. Analysis of previous COVID-19 data is useful to explore its epidemic patterns. Utilizing data mining and machine learning methods for COVID-19 forecasting might provide a...
Autores principales: | Liu, Qian, Fung, Daryl L. X., Lac, Leann, Hu, Pingzhao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529122/ https://www.ncbi.nlm.nih.gov/pubmed/34692627 http://dx.doi.org/10.3389/fpubh.2021.741030 |
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