Fuzzy comprehensive evaluation method of metabolic syndrome based on PCA.
- Author:
Licai YANG
1
;
Pengfei ZHANG
;
Dewei WANG
Author Information
1. School of Control Science and Engineering, Shandong University, Jinan 250061, China. yanglc@sdu.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Fuzzy Logic;
Humans;
Metabolic Syndrome;
diagnosis;
Principal Component Analysis;
methods
- From:
Journal of Biomedical Engineering
2013;30(1):67-79
- CountryChina
- Language:Chinese
-
Abstract:
In modern society, metabolic syndrome (MS) occurs in a state in which many diseases gather in the human body and can directly lead to cardiovascular diseases and even to death. MS generates slowly, and the early intervention, the basis of which is the evaluation of MS, can effectively alleviate the diseases. This paper presents an MS fuzzy comprehensive evaluation method based on principal component analysis (PCA). The method firstly deals with the historical data that impact the indexes of MS to obtain the weight of each index by using PCA. Then it evaluates each index to get the human health score by using fuzzy comprehensive evaluation method, and therefore it provides objective basis for the early effective intervention. Finally we verified the feasibility and effectiveness of the method using demonstration and simulation.
