• DocumentCode
    3461822
  • Title

    Data Mining Technology for Applying of RFID and Health Examination

  • Author

    Ben-Chang Shia ; Yi-Ting Ding ; Ya-Wun Jheng ; Ting-Wei Chang

  • Author_Institution
    Grad. Inst. of Appl. Stat., Fu-Jen Catholic Univ., Sinjhuang, Taiwan
  • fYear
    2009
  • fDate
    June 30 2009-July 2 2009
  • Firstpage
    892
  • Lastpage
    895
  • Abstract
    Radio frequency identification (RFID) is kind of automatic wireless recognition sum according to the gain technology, its special capability of data chasing and data collecting can load messages directly to the database and deal with many labels at one time. RFID has been applied in many domains, including medical application, like medical record system. The major of this study is medical application, this study expects RFID can combine with the data of health examination, and sort the health conditions, so that doctors and medical advisers can provide the medical information or ways of health case immediately. The purpose of this study is to classify the data of health examination we got by data mining and RFIDpsilas special capability of chasing and collecting. This study expects that we can classify the health condition of participants of health examination by the data of health examination into three classes (high risk, median risk, low risk), and provide different medical service to people by different classes.
  • Keywords
    data mining; health care; pattern recognition; radiofrequency identification; RFID application; automatic wireless recognition; data chasing feature; data collecting feature; data mining technology; gain technology; health case medical information; health examination; high risk; low risk; median risk; medical record system; Biomedical equipment; Cervical cancer; Data mining; Databases; Diseases; Hospitals; Medical services; Radiofrequency identification; Statistics; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends in Information and Service Science, 2009. NISS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3687-3
  • Type

    conf

  • DOI
    10.1109/NISS.2009.236
  • Filename
    5260784