首页> 外文会议>International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN) >Research and Application of Data Mining in Traditional Chinese Medical Clinic Diagnosis
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Research and Application of Data Mining in Traditional Chinese Medical Clinic Diagnosis

机译:数据挖掘在中医临床诊断中的研究与应用

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摘要

In this paper, a new data-mining algorithm based on Bayesian network was proposed and applied in traditional Chinese medical clinical diagnosis for Coronary Heart Disease (CHD). With the relative factors of the differentiation for traditional Chinese medical symptoms the gain information algorithm is used to select the attributes of the differentiation. The experiment with the data from the database of electronic patient cases shows that the Bayesian algorithm has good classification capability in traditional Chinese medical clinical diagnosis.
机译:提出了一种基于贝叶斯网络的数据挖掘新算法,并将其应用于冠心病的中医临床诊断。结合中医症状鉴别的相关因素,采用增益信息算法选择鉴别的属性。电子病历数据库数据的实验表明,贝叶斯算法在中医临床诊断中具有良好的分类能力。

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