Data mining on electronic health record databases for signal detection in pharmacovigilance: which events to monitor?

@article{Trifir2009DataMO,
  title={Data mining on electronic health record databases for signal detection in pharmacovigilance: which events to monitor?},
  author={Gianluca Trifir{\`o} and Antoine Pariente and Preciosa M. Coloma and Jan A. Kors and Giovanni Polimeni and Ghada Miremont-Salam{\'e} and Maria Antonietta Catania and Francesco Salvo and Anaelle David and Nicholas Moore and Achille Patrizio Caputi and Miriam Sturkenboom and Mariam Molokhia and Julia Hippisley-Cox and Carlos Acedo and Johan van der Lei and Annie Fourrier-R{\'e}glat},
  journal={Pharmacoepidemiology and drug safety},
  year={2009},
  volume={18 12},
  pages={
          1176-84
        }
}
PURPOSE Data mining on electronic health records (EHRs) has emerged as a promising complementary method for post-marketing drug safety surveillance. The EU-ADR project, funded by the European Commission, is developing techniques that allow mining of EHRs for adverse drug events across different countries in Europe. Since mining on all possible events was considered to unduly increase the number of spurious signals, we wanted to create a ranked list of high-priority events. METHODS Scientific… CONTINUE READING
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