Fuzzy logic approach to health checkup data analysis

This paper describes an evaluation method based on fuzzy set for health checkup data. This method converts health data into fuzzy degree to operate a multivariate data analysis. The obtained fuzzy degree is considered as an attribute value in closed interval [0, 1]. The degree shows a normality of health condition. In this study, fuzzy membership functions are made from standard divisions of reference interval of health checkup data. As an example, we calculated fuzzy degrees and disease index from Japanese health checkup data. In this result, we confirmed that the obtained disease index corresponded with medical established theories.