• DocumentCode
    2871632
  • Title

    A data mining method on the study of medical information

  • Author

    Zhao, Xiaofeng ; Jiao, Liyan ; An, Jinping ; Wang, Li ; Jia, Lipin

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China
  • Volume
    9
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    For a long time, the cause of diabetes has been an unsolved problem. And with the deepening of diabetes research, much information has been collected. There may contain lots of interesting information within the collected medical information. But, the traditional medical methods can only study the human organ from the microscopic view, and lack of the capability of process large medical data set. So, in this paper, an data mining method is introduced to provide a new way to find the diabetes etiology.
  • Keywords
    data mining; diseases; medical computing; medical information systems; data mining; diabetes etiology; large medical data set; medical information; Accuracy; Approximation methods; Association rules; Diabetes; History; Itemsets; Apriori algorithm; Data mining; diabetes; medical data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5623058
  • Filename
    5623058