Analysis and Visualization of metabolic syndrome trends using SOM
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概要
- 論文の詳細を見る
Metabolic syndrome in recent years has become a major concern to health. Many of the youth have fallen victim of these syndrome or related consequences. Self-organizing maps (SOM) can be viewed as a visualization tool that performs a sort of compromise between a high-dimensional dataset and a two-dimensional plane. This paper gives an overview, analysis and visualization of the syndrome using SOM with a view to understanding its trends and inter-relating other risk factors that have no relation with the syndrome yet having a very big contribution to the syndrome and hence overall health risk.
- バイオメディカル・ファジィ・システム学会の論文
- 2007-08-02
著者
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Maniwa Y.
Futaba Clinic
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Ohkita M.
Tottori University Faculty Of Engineering
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Tokutaka H.
SOM Japan Inc.
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Fujimura K.
Tottori University, Faculty of Engineering
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Kotani K.
Tottori University, Faculty of Medicine
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Kurozawa Y.
Tottori University, Faculty of Medicine
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Kihato P.
Tottori University, Faculty of Engineering
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Ohkita M.
Tottori University Dept. Electrical And Electronic Engineering
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Kihato P.k.
Tottori University Faculty Of Engineering
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Kurozawa Y.
Tottori University Faculty Of Medicine
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Kotani K.
Tottori University Faculty Of Medicine
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Fujimura K.
Tottori University Faculty Of Engineering
関連論文
- Analysis and Visualization of Metabolic Syndrome Trends Using SOM(Contribution to 21 Century Intelligent Technologies and Bioinformatics)
- Analysis and Visualization of metabolic syndrome trends using SOM
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