Pharmacovigilance, signal detection using statistical data mining methods

  • Authors

    • G V. Sriramakrishnan
    • M Muthu Selvam
    • K Mariappan
    • G Suseendran
    2018-05-29
    https://doi.org/10.14419/ijet.v7i2.31.13423
  • Adverse drug reactions, pharmacovigilance, safety signals, statistical methods.

  • Abstract

    Pharmacovigilance programmes monitor and help safeguarding the use of medicines which is grave to the success of public health programmes. Identifying new possible risks and developing risk minimization action plans to prevent or ease these risks is at the heart of all pharmacovigilance activities throughout the product lifecycle.  In this paper we examine the use of data mining algorithms to identify signals from adverse events reported. The capabilities include screening, data mining and frequency tabulation for potential signals, including signal estimation using established statistical signal detection methods. We have standard processes, algorithms and follow current requirements for signal detection and risk management activities.

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  • How to Cite

    V. Sriramakrishnan, G., Muthu Selvam, M., Mariappan, K., & Suseendran, G. (2018). Pharmacovigilance, signal detection using statistical data mining methods. International Journal of Engineering & Technology, 7(2.31), 122-126. https://doi.org/10.14419/ijet.v7i2.31.13423

    Received date: 2018-05-29

    Accepted date: 2018-05-29

    Published date: 2018-05-29