Multidimensional Scaling Analysis of Laboratory Parameters According to Obesity

被引:0
作者
Nemethy, Krisztina [1 ]
Osz, Rita [1 ]
Gati, Jozsef [1 ]
机构
[1] Obuda Univ, Budapest, Hungary
来源
2014 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS (INES) | 2014年
关键词
Obesity; Multidimensional Scaling; BMI z-score index; clinical laboratory;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Obesity has reached epidemic proportions in this century. Although its causes are not well known, its increasing prevalence is not likely to be due to genetic factors or underlying biology. One of the important directions of the medical research is to detect the relationship between the clinical laboratory parameters and obesity. This has led to interest in the role of BMI z-score index, although few studies have focused on the role of the laboratory parameters. This study investigated whether the gender, and the BMI index influenced the association of laboratory parameters. The used statistical method of the analysis is the multidimensional scaling (MDS) which is a set of data analysis techniques that displays the structure of distance-like data - such as correlation - as a geometrical picture.
引用
收藏
页码:133 / 136
页数:4
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