A Fuzzy Approach to Diagnostic Criteria Dependency Evaluation in Medical Checkup Data

DOI

Bibliographic Information

Other Title
  • 健診データの基準依存性評価に対するファジィアプローチ

Abstract

This paper describes fuzzy evaluation method for criteria dependency in human health conditions by changing medical checkup reference. In our previous paper, we proposed an evaluation method based on fuzzy logic for health checkup data. This method converted health checkup data into fuzzy normal degree to evaluate multivariate data. We defined the fuzzy normal degree as an attribute value in closed interval [0, 1] by using fuzzy membership function which was defined by diagnostic criteria. Furthermore, total health indices which are defined by operation of the fuzzy normal degrees are treated as the same scale. These indices can express human health conditions in health checkup result using fuzzy set. In this paper, to investigate fuzzy normal degrees by changing to new reference interval, we employ new reference interval and form new diagnostic criteria, and visualized health changes by calculating the total health indices using our proposed method. As the result, we succeeded in visualizing health change by fuzzy normal degree and fuzzy health indices, and confirmed quantitatively that disease patients decrease by changing to new reference interval.

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Details 詳細情報について

  • CRID
    1390001205673957888
  • NII Article ID
    130005480576
  • DOI
    10.14864/fss.30.0_524
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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