• DocumentCode
    176467
  • Title

    A novel medical assistance system based on data mining

  • Author

    Jingyuan Dai

  • Author_Institution
    Int. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2014
  • fDate
    29-30 Sept. 2014
  • Firstpage
    264
  • Lastpage
    266
  • Abstract
    In this paper, we design a medical assistance system, which uses a data mining algorithm named improved genetic algorithm (IGA) to extract the proper behavior model according to the target database of the hospital, and develop the clinical pathways based on the behavior model. The quality of the behavior model can be evaluated by the application of the clinical pathways in the clinical diagnosis and treatment activities. To verify the performance of the algorithm, we compared the recall ratio and precision ratio of our algorithm with that of two typical algorithms named Genetic algorithm (GA) and Apriori in the simulation. The result shows that the performance of the IGA is better than the other two algorithms.
  • Keywords
    data mining; genetic algorithms; hospitals; medical computing; clinical diagnosis; data mining algorithm; improved genetic algorithm; medical assistance system; treatment activities; Algorithm design and analysis; Clinical diagnosis; Data mining; Genetic algorithms; Itemsets; Medical diagnostic imaging; Behavior model; Clinical pathways; Medical assistance system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/WARTIA.2014.6976247
  • Filename
    6976247