• DocumentCode
    2541123
  • Title

    Detect Adverse Drug Reactions for Drug Alendronate

  • Author

    Liu, Yihui ; Aickelin, Uwe

  • Author_Institution
    Inst. of Intell. Inf. Process., Shandong Polytech. Univ., Jinan, China
  • fYear
    2012
  • fDate
    12-14 Oct. 2012
  • Firstpage
    820
  • Lastpage
    823
  • Abstract
    Adverse drug reaction (ADR) is widely concerned for public health issue. 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 Alendronate. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
  • Keywords
    drugs; matrix algebra; medical computing; ADR; adverse drug reaction detection; alendronate drug; feature matrix; feature selection; public health issue; Biomedical imaging; Databases; Diseases; Drugs; Feature extraction; Pain; Skin; Alendronate; adverse drug reaction; feature matrix; feature selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-4469-2
  • Type

    conf

  • DOI
    10.1109/BCGIN.2012.219
  • Filename
    6382660