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一种基于粗糙集理论的心血管功能辅助诊断方法
引用本文:廉飞宇,付麦霞,王植存. 一种基于粗糙集理论的心血管功能辅助诊断方法[J]. 生物医学工程研究, 2007, 26(2): 191-195
作者姓名:廉飞宇  付麦霞  王植存
作者单位:河南工业大学信息科学与工程学院,郑州,450001;郑州大学信息工程学院,郑州,450052
基金项目:河南省教育厅科技攻关项目
摘    要:为提高心血管功能计算机辅助诊断的可靠性,将粗糙集引入到心血管功能的计算机诊断中。通过对获取的参数进行统计分析,建立条件属性表、决策属性表和决策表;通过利用粗糙集相关矩阵,采用贪婪策略构造的寻找最小属性约简的启发式算法,对条件属性进行约简并建立相应的决策表和规则集。大量实例分析诊断表明,该方法确能提高机器辅助诊断心血管功能的正确性并且较容易实现。

关 键 词:粗糙集  决策表  诊断知识库  属性约简算法  心血管功能辅助诊断
文章编号:1672-6278(2007)02-0191-05
修稿时间:2007-01-15

The Study of Cardiovascular Function Diagnosis based on Rough Set Theory
LIAN Fei-yu,FU Mai-xia,WANG Zhi-cun. The Study of Cardiovascular Function Diagnosis based on Rough Set Theory[J]. Journal Of Blomedical Englneerlng Research, 2007, 26(2): 191-195
Authors:LIAN Fei-yu  FU Mai-xia  WANG Zhi-cun
Affiliation:1.College of Information Science and Technology, Henan University of Technology, Zhengzhou 450051, China; 2.College of Information Engineering, Zhengzhou University, Zhengzhou 450052
Abstract:In order to improve the reliability of cardiovascular function diagnosis by computer,the rough set was introduced.The condition attribution table and decision table were set up by analysing parameters obtained by computer and the reductionn of the condition attribution table was obtained by using the relation matrix of rough set and greedy strategy.The study of lots of case show that this method can improve the reliability of cardiovascular function diagnosis by compter and can be realized easily.
Keywords:Rough set  Decision table  Diagnosis repository  Attribute reduction algorithm  Cardiovascular function diagnosis
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