Towards large-scale twitter mining for drug-related adverse events

@article{Bian2012TowardsLT,
  title={Towards large-scale twitter mining for drug-related adverse events},
  author={Jiang Bian and Umit Topaloglu and Fan Yu},
  journal={SHB'12 : proceedings of the 2012 ACM International Workshop on Smart Health and Wellbeing : October 29, 2012, Maui, Hawaii, USA. International Workshop on Smart Health and Wellbeing},
  year={2012},
  volume={2012},
  pages={25-32}
}
Drug-related adverse events pose substantial risks to patients who consume post-market or Drug-related adverse events pose substantial risks to patients who consume post-market or investigational drugs. Early detection of adverse events benefits not only the drug regulators, but also the manufacturers for pharmacovigilance. Existing methods rely on patients' "spontaneous" self-reports that attest problems. The increasing popularity of social media platforms like the Twitter presents us a new… CONTINUE READING
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