主催: バイオメディカル・ファジィ・システム学会
会議名: 第30回バイオメディカル・ファジィ・システム学会
回次: 30
開催地: 大阪
開催日: 2017/11/25 - 2017/11/26
p. 49-50
Serum uric acid level is considered to be a useful index related to metabolic syndrome. We examined the classification by using the SOM significance degree method and compared it with the result of multivariate discriminant analysis. In this study Kohonen's LVQ (Learning vector quantization) was applied to the classification. The result was reported and compared with multivariate discriminant analysis.