Cargando…
An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US
The World Health Organization (WHO) declared on 11th March 2020 the spread of the coronavirus disease 2019 (COVID-19) a pandemic. The traditional infectious disease surveillance had failed to alert public health authorities to intervene in time and mitigate and control the COVID-19 before it became...
Autores principales: | Zhang, Yiming, Chen, Ke, Weng, Ying, Chen, Zhuo, Zhang, Juntao, Hubbard, Richard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920081/ https://www.ncbi.nlm.nih.gov/pubmed/35308584 http://dx.doi.org/10.1016/j.eswa.2022.116882 |
Ejemplares similares
-
Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study
por: Visweswaran, Shyam, et al.
Publicado: (2020) -
Early warning system to predict energy prices: the role of artificial intelligence and machine learning
por: Alshater, Muneer M., et al.
Publicado: (2022) -
Applying GIS and Machine Learning Methods to Twitter Data for Multiscale Surveillance of Influenza
por: Allen, Chris, et al.
Publicado: (2016) -
Epitweetr: Early warning of public health threats using Twitter data
por: Espinosa, Laura, et al.
Publicado: (2022) -
Tail Risk Early Warning System for Capital Markets Based on Machine Learning Algorithms
por: Zhang, Zongxin, et al.
Publicado: (2021)