• DocumentCode
    2493200
  • Title

    Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models

  • Author

    Lisboa, Paulo J G ; Fernandes, Ana S. ; Fonseca, José M. ; Bajdik, Chris ; Biganzoli, Elia

  • Author_Institution
    Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool, UK
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Pharmaceutical companies face twin pressures of improving the throughput of new products and responding to increased requirements by regulatory bodies for risk evaluation and mitigation both pre- and post-marketing. This paper gives a brief overview of flexible outcome models to improve the accuracy of these studies. The focus is on the discovery of niche populations in secondary analysis and monitoring of adverse events in observational studies of new products. Analytical results illustrate the power of the methods and they can be mapped onto Boolean filters to represent populations with particular benefit/risk ratios.
  • Keywords
    Boolean algebra; drugs; patient treatment; risk analysis; Boolean filters; adverse events; benefit-risk ratio; drug therapy; flexible outcome models; niche populations; outcome analysis; secondary analysis; Analytical models; Biological system modeling; Breast cancer; Data models; Hazards; Indexes; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2010 International Joint Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-6916-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2010.5596689
  • Filename
    5596689