Detect adverse drug reactions for the drug Pravastatin

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    Author
    Liu, Y; Aickelin, U
    Date
    2012
    Source Title
    5th International Conference on Biomedical Engineering and Informatics (BMEI)
    Publisher
    IEEE
    University of Melbourne Author/s
    Aickelin, Uwe
    Metadata
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    Document Type
    Conference Paper
    Citations
    Liu, Y. & Aickelin, U. (2012). Detect adverse drug reactions for the drug Pravastatin. 5th International Conference on Biomedical Engineering and Informatics (BMEI), pp.1188-1192. IEEE. https://doi.org/10.1109/BMEI.2012.6512991.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/241259
    DOI
    10.1109/BMEI.2012.6512991
    Abstract
    Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market. Prescription event monitoring (PEM) is an important approach to detect the adverse drug reactions. The main problem to deal with this method is how to automatically extract the medical events or side effects from high-throughput medical data, which are collected from day to day clinical practice. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Pravastatin. Major side effects for the drug are detected. The detected ADRs are based on computerized method, further investigation is needed.

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