Using the Tabu-search-algorithm-based Bayesian network to analyze the risk factors of coronary heart diseases
10.3760/cma.j.issn.0254-6450.2016.06.031
- VernacularTitle:禁忌搜索算法的贝叶斯网络模型在冠心病影响因素分析中的应用
- Author:
Zhen WEI
1
;
Xuelei ZHANG
;
Huaxiang RAO
;
Huafang WANG
;
Xiang WANG
;
Lixia QIU
Author Information
1. 山西医科大学公共卫生学院卫生统计学教研室
- Keywords:
Bayesian network;
Tabu search algorithm;
Logistic regression;
Coronary heart disease;
Influencing factors
- From:
Chinese Journal of Epidemiology
2016;37(6):895-899
- CountryChina
- Language:Chinese
-
Abstract:
Under the available data gathered from a coronary study questionnaires with 10 792 cases,this article constructs a Bayesian network model based on the tabu search algorithm and calculates the conditional probability of each node,using the Maximum-likelihood.Pros and cons of the Bayesian network model are evaluated to compare against the logistic regression model in the analysis of coronary factors.Applicability of this network model in clinical study is also investigated.Results show that Bayesian network model can reveal the complex correlations among influencing factors on the coronary and the relationship with coronary heart diseases.Bayesian network model seems promising and more practical than the logistic regression model in analyzing the influencing factors of coronary heart disease.
