Predicting adverse drug events from personal health messages.

@article{Chee2011PredictingAD,
  title={Predicting adverse drug events from personal health messages.},
  author={Brant W. Chee and Richard Berlin and Bruce Schatz},
  journal={AMIA ... Annual Symposium proceedings. AMIA Symposium},
  year={2011},
  volume={2011},
  pages={217-26}
}
Adverse drug events (ADEs) remain a large problem in the United States, being the fourth leading cause of death, despite post market drug surveillance. Much post consumer drug surveillance relies on self-reported "spontaneous" patient data. Previous work has performed datamining over the FDA's Adverse Event Reporting System (AERS) and other spontaneous reporting systems to identify drug interactions and drugs correlated with high rates of serious adverse events. However, safety problems have… CONTINUE READING
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