Reasoning Mechanism of HD Diagnose System Based on Intelligent Fusion Algorithm

摘要：

To make patients with HD (Heart Disease) achieve standardized treatment at the same level in different medical institutions,the gap of medical quality and efficiency caused by the asymmetry of medical information and knowledge should be closed. The reasoning model based on four-layer-behavior-and-twoclass-reasoning-mechanism was architected. The reasoning algorithm mixing RS (Rough Set) and PNN (Probabilistic Neural Network) was adopted to architect the heart disease intelligent diagnose system assisting the HD diagnose decision. Results of experiment shows that with the HD diagnose system mixing the RS and PNN the time to train samples was shortened and the ability to classify and generalized samples was heightened.

关键词： Reasoning Model Heart Disease Diagnose System Intelligent Fusion Algorithm

作者: Jiang.Shen Man.Xu Xie.Tao

作者单位: School of Management,Tianjin University,Tianjin 300072,P.R.China

会议类型: 国际会议

会议名称: 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management(IEEE第16届工业工程与工程管理国际学术会议)

会议地点: 北京

会议语种:英文

页码: 208-212

在线出版日期: 2009-10-21（万方平台首次上网日期，不代表论文的发表时间）