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COVID-19 cases prediction in multiple areas via shapelet learning
Predicting the number of COVID-19 cases in a geographical area is important for the management of health resources and decision making. Several methods have been proposed for COVID-19 case predictions but they have important limitations in terms of model interpretability, related to COVID-19’s incub...
Autores principales: | Wang, Zhijin, Cai, Bing |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102854/ https://www.ncbi.nlm.nih.gov/pubmed/34764597 http://dx.doi.org/10.1007/s10489-021-02391-6 |
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