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
Link To Document :
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