摘要
从数据挖掘中的布尔关联规则角度出发,定义中医症状间的关联规则,发现病案数据库中诸多症状之间规律性的关联规则,并且依据规则分析病因、预测病情发展以及为未来临床诊治提供有效借鉴.
Setting out from the Boolean association rules of data mining, we defined the symptom association rules of TCM and discovered disciplinarian association rules among the multitudinous symptom in the symptom record database. Also on the basis of the rules, we analysed the cause of disease and forecasted the development of disease, hoping to provide the effective model for the clinical syndrome diagnosis in the future.
出处
《杭州师范学院学报（自然科学版）》
2007年第3期205-207,共3页
Journal of Hangzhou Teachers College(Natural Science)
基金
河南省科委自然科学基金项目(2007KYCX018)
关键词
数据挖掘
关联规则
症状
data mining
association rules
symptom
