R Harpaz

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. pmc Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions
    Rave Harpaz
    Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA
    J Am Med Inform Assoc 20:413-9. 2013
  2. doi request reprint Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system
    R Harpaz
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA
    Clin Pharmacol Ther 93:539-46. 2013
  3. pmc Novel data-mining methodologies for adverse drug event discovery and analysis
    R Harpaz
    Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA
    Clin Pharmacol Ther 91:1010-21. 2012
  4. doi request reprint Pharmacovigilance using clinical notes
    P Lependu
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA
    Clin Pharmacol Ther 93:547-55. 2013
  5. pmc Biclustering of adverse drug events in the FDA's spontaneous reporting system
    R Harpaz
    Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA
    Clin Pharmacol Ther 89:243-50. 2011

Collaborators

Detail Information

Publications5

  1. pmc Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions
    Rave Harpaz
    Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA
    J Am Med Inform Assoc 20:413-9. 2013
    ..We claim that this approach leads to improved accuracy of signal detection when the goal is to produce a highly selective ranked set of candidate ADRs...
  2. doi request reprint Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system
    R Harpaz
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA
    Clin Pharmacol Ther 93:539-46. 2013
    ..We also propose an approach and demonstrate its application in identifying optimal signaling thresholds, given specific misclassification tolerances...
  3. pmc Novel data-mining methodologies for adverse drug event discovery and analysis
    R Harpaz
    Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA
    Clin Pharmacol Ther 91:1010-21. 2012
    ..This article provides an overview of recent methodological innovations and data sources used to support ADE discovery and analysis...
  4. doi request reprint Pharmacovigilance using clinical notes
    P Lependu
    Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, USA
    Clin Pharmacol Ther 93:547-55. 2013
    ..Such data mining can be used for hypothesis generation and for rapid analysis of suspected adverse event risk...
  5. pmc Biclustering of adverse drug events in the FDA's spontaneous reporting system
    R Harpaz
    Department of Biomedical Informatics, Columbia University Medical Center, New York, New York, USA
    Clin Pharmacol Ther 89:243-50. 2011
    ....