摘要
心血管病是造成我国居民死亡和疾病负担的首要病因,如何根据病人的症状,实现对心血管病的预测,是开展本文研究的目的.提出一种基于证据理论的心血管病预测方法,首先,对与疾病有关的因素进行分类研究,然后,根据建立的模型得到BPA(基本概率指派),最后,通过心脏病数据集(Heart Disease Set)的预测实验验证了该方法的有效性,结论表明采用该方法后心脏病预测准确率为93.33%.
Cardiovascular disease is the leading cause of death and burden of disease of Chinese residents.To predict cardiovascular disease according to the symptoms of patients is the purpose of this study.To solve this problem,a method to predict cardiovascular disease based on evidence theory is proposed in this paper.At first,the factors related to the disease are classified.Then,BPA(Basic Probability Assignment)is obtained according to the established model.At last,the effectiveness of the proposed method is proved by the prediction experiments of Heart Diseases Set.It concludes that the accuracy of the heart disease prediction is 93.33%by using this method.
作者
崔春生
曹艳丽
王美琦
郭玉洁
CUI Chun-sheng;CAO Yan-li;WANG Mei-qi;GUO Yu-jie(Department of Computer and Information Engineering,Henan University of Economics and Law,Zhengzhou 450046,China)
出处
《数学的实践与认识》
2021年第13期121-128,共8页
Mathematics in Practice and Theory
基金
2020年河南高校哲学社会科学应用研究重大项目计划(2020-YYZD-02)
2021年度河南省教育厅人文社会科学研究一般项目(2021-ZZJH-020)
2020年度河南省高等学校重点科研项目(20A120002)联合资助。
关键词
证据理论
心血管病
BPA
心脏病预测
evidence theory
cardiovascular disease
BPA
heart disease prediction
