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2型糖尿病发病危险因素及其特征提取技术
引用本文:王 恒,罗森林,张铁梅,韩怡文.2型糖尿病发病危险因素及其特征提取技术[J].计算机工程,2007,33(9):103-105.
作者姓名:王 恒  罗森林  张铁梅  韩怡文
作者单位:[1]北京理工大学电子工程系,北京100081 [2]卫生部北京老年医学研究所,北京100730
基金项目:国家科技攻关计划 , 国家自然科学基金
摘    要:综合选用数据挖掘中的EM聚类算法和C4.5分类算法,设计并进行了一系列以研究2型糖尿病发病危险因素与血糖变化关系为目的的实验。研究结果包括:发现了新的血糖门限值5.26和未发病门限值4.28,发现和验证了影响最大的8个重要发病危险因素及其对应的一系列重要临界值,定性定量相结合地给出了各个重要发病危险因素的影响程度在血糖值不同预警门限值下的变化关系等。

关 键 词:EM算法  C4.5算法  2型糖尿病  发病危险因素
文章编号:1000-3428(2007)09-0103-03
修稿时间:2006-12-20

Risk Factors and Feature Extraction Technology of Type 2 Diabetes
WAN Heng,LUO Senlin,ZHANG Tiemei,HAN Yiwen.Risk Factors and Feature Extraction Technology of Type 2 Diabetes[J].Computer Engineering,2007,33(9):103-105.
Authors:WAN Heng  LUO Senlin  ZHANG Tiemei  HAN Yiwen
Affiliation:1. Department of Electrical Engineering, Beijing Institute of Technology, Beijing 100081 ; 2. Beijing Institute of Geriatrics, Ministry of Health. Beijing 100730
Abstract:This paper combines expectation maximization(EM) algorithm and C4.5 algorithm to build a Type 2 diabetes data processing system. With the system, a series of data mining experiment is designed to seek for important Type 2 diabetes risk factors and their relationships with blood glucose. Through a large quantity of experiments, some pathological knowledge of Type 2 diabetes is obtained, which includes 2 new blood glucose threshold——5.26 and 4.28, and 8 important Type 2 diabetes risk factors. Based on these factors and the results, the relationship between the functions of those risk factors and different blood glucose thresholds is studied and illustrated. And the relationship between important risk factors and blood glucose is analyzed.
Keywords:Expectation maximization algorithm  C4  5 algorithm  Type 2 diabetes  Risk factors of disease
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