文献类型：期刊文献

中文题名：基于贝叶斯网络的心血管疾病与其他慢性病因果关系分析

英文题名：Relationship between cardiovascular diseases and common chronic diseases based on Bayesian network

作者：何旭[1];钱夕元[1];阮彤[1]

机构：[1]华东理工大学理学院

年份：2019

卷号：54

期号：4

起止页码：512

中文期刊名：郑州大学学报（医学版）

外文期刊名：Journal of Zhengzhou University(Medical Sciences)

收录：CSTPCD;;北大核心:【北大核心2017】；

基金：国家高科技研究发展计划资助项目(2015AA20107)

语种：中文

中文关键词：贝叶斯网络;心血管疾病;因果推断;慢性病

外文关键词：Bayesian network;cardiovascular diseases;causality inference;chronic diseases

摘要：目的:利用贝叶斯网络研究心血管疾病以及一些常见慢性病的因果关系。方法:收集2752例心血管疾病患者(男1382例,女1370例)的病历数据,使用基于分数-搜索学习方法构建贝叶斯网络,采用爬山算法,并使用Bootstrap模型平均增加模型的鲁棒性。构造疾病、二次住院和死亡之间的有向无环图,进而发现变量之间的因果关系。结果与结论:绘制出心血管疾病因果网络图,发现对心血管疾病患者死亡影响最大的路径为冠心病、高血压→脑梗死→肺部感染→死亡。
Aim :To study the causal relationship between cardiovascular diseases and common chronic diseases using Bayesian network. Methods :The data of 2 752 patients(1 382 males,1 370 females) with cardiovascular diseases were collected.Bayesian network was constructed based on scoring-search learning method,and hill-climbing algorithm and Bootstrap model were used to increase the robustness of the model.A directed acyclic graph containing the diseases, second hospitalization and death, were constructed, and then the causal relationship between these variables were found. Results and Conclusion :Bayesian network about the relationship between cardiovascular diseases and common chronic diseases was constructed, and the causal routine which had the most serious impact on death was coronary artery disease and hypertension→cerebral infarction→pulmonary infection→death.