Mining FDA resources to compute population-specific frequencies of adverse drug reactions

@article{Poleksic2017MiningFR,
  title={Mining FDA resources to compute population-specific frequencies of adverse drug reactions},
  author={Aleksandar Poleksic and Carson Turner and Rishabh Dalal and Paul Gray and Lei Xie},
  journal={2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  year={2017},
  pages={1809-1814}
}
Adverse drug reactions (ADRs) represent one of the main health and economic problems in the world. With increasing data on ADRs, there is an increased need for software tools capable of organizing and storing the information on drug-ADR associations in a form that is easy to use and understand. Here we present a step by step computational procedure capable of extracting drug-ADR frequency data from the large collection of patient safety reports stored in the Federal Drug Administration database… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 18 REFERENCES

The SIDER database of drugs and side effects

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Clinical and economic burden of adverse drug reactions

  • Journal of pharmacology & pharmacotherapeutics
  • 2013
VIEW 1 EXCERPT

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