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Risk-Aware Identification of Highly Suspected COVID-19 Cases in Social IoT: A Joint Graph Theory and Reinforcement Learning Approach
The recent outbreak of the coronavirus disease 2019 (COVID-19) has rapidly become a pandemic, which calls for prompt action in identifying suspected cases at an early stage through risk prediction. To suppress its further spread, we exploit the social relationships between mobile devices in the Soci...
| Formato: | Online Artículo Texto |
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| Lenguaje: | English |
| Publicado: |
IEEE
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8043494/ https://www.ncbi.nlm.nih.gov/pubmed/34192110 http://dx.doi.org/10.1109/ACCESS.2020.3003750 |