• DocumentCode
    2565387
  • Title

    Progress away from evidence based medicine to discovery of dynamic principles of disease and its treatment

  • Author

    Helgason, Cathy M. ; Jobe, Thomas H.

  • Author_Institution
    Dept. of Neurology, Univ. of Illinois at Chicago, Chicago, IL, USA
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    1113
  • Lastpage
    1115
  • Abstract
    Background: Medical science in the form of ¿evidence based medicine¿ demands when measuring any object that object be isolated from others, from context, from the method of measurement and from the observer. Linear non changing relations amongst variables are thus defined which allow prediction based on probabilities and define information from the resulting statistic. Method and Result: It was hypothesized that information of a non statistical nature could be sought in the individual patient. Fuzzy logic and the geometry of fuzzy theory were considered as viable methods for discovery of the process of disease and response to treatment. The result is that variables of interest are allowed to intermingle with others, their context, and the dynamic of these interactions is measured in such a way that the measurer and the measured coexist in each instant. Conclusion: Isolation as a principle of scientific measurement need not be a requirement for attainment of medical knowledge.
  • Keywords
    case-based reasoning; diseases; fuzzy logic; fuzzy reasoning; medical computing; patient treatment; disease treatment; evidence based medicine; fuzzy logic; fuzzy theory; medical knowledge; medical science; scientific measurement; Cybernetics; Diseases; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hypercubes; Medical diagnostic imaging; Medical treatment; Probability; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5345970
  • Filename
    5345970