Validating models for disease detection using twitter

  title={Validating models for disease detection using twitter},
  author={Todd J. Bodnar and Marcel Salath{\'e}},
Data mining social media has become a valuable resource for infectious disease surveillance. However, there are considerable risks associated with incorrectly predicting an epidemic. The large amount of social media data combined with the small amount of ground truth data and the general dynamics of infectious diseases present unique challenges when evaluating model performance. In this paper, we look at several methods that have been used to assess influenza prevalence using Twitter. We then… CONTINUE READING
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