Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models
Data Mining and Knowledge Discovery, Volume 30, Issue 3, 2015.
Syndromic surveillanceSocial mediaTopic modelHidden Markov model
Surveillance of epidemic outbreaks and spread from social media is an important tool for governments and public health authorities. Machine learning techniques for nowcasting the Flu have made significant inroads into correlating social media trends to case counts and prevalence of epidemics in a population. There is a disconnect between ...More
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