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A graph-based approach for population health analysis using Geo-tagged tweets
2020
Multimedia tools and applications
We propose in this work a graph-based approach for automatic public health analysis using social media. In our approach, graphs are created to model the interactions between features and between tweets in social media. We investigated different graph properties and methods in constructing graph-based representations for population health analysis. The proposed approach is applied in two case studies: (1) estimating health indices, and (2) classifying health situation of counties in the US. We
doi:10.1007/s11042-020-10034-0
pmid:33132740
pmcid:PMC7585996
fatcat:tiujk5utojezzpput3pntygsvu