• DocumentCode
    174403
  • Title

    Fuzzy dependency analysis for medical checkup reference

  • Author

    Higuchi, Suemi ; Hata, Yuki

  • Author_Institution
    Grad. Sch. of Simulation Studies, Univ. of Hyogo, Kobe, Japan
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    3952
  • Lastpage
    3957
  • Abstract
    We investigate dependency of human health condition evaluation on changing medical checkup reference. In our previous paper, we proposed an evaluation method based on fuzzy set for health checkup data. This method converted health checkup data into fuzzy degree to operate a multivariate data analysis. The obtained fuzzy degree was considered as an attribute value in closed interval [0, 1]. Total health indices which are defined by operation of the fuzzy degrees are treated as the same scale. In this paper, to investigate fuzzy normal degrees by changing to new reference interval, we visualized health changes by calculating the total health indices using our proposed method. As the result, we succeeded in visualizing health change, and confirmed quantitatively that disease patients decrease by changing to new reference interval.
  • Keywords
    data analysis; data visualisation; diseases; fuzzy set theory; medical computing; attribute value; disease patients; fuzzy degree; fuzzy dependency analysis; fuzzy normal degrees; health change visualization; human health condition evaluation; medical checkup reference changing; multivariate data analysis; total health indices; Hardware design languages; Indexes; Inspection; Medical diagnostic imaging; Obesity; Standards; Diagnostic criteria; Fuzzy logic; Lifestyle disease; Medical checkup data; Reference interval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6974549
  • Filename
    6974549