基于关联规则的肝硬变辨证数据挖掘研究  

Data Mining Research on Cirrhosis Syndrome Differentiation Based on Association Rule

作　　者：陈明[1] 杨慧芳[2] 余蕾 

机构地区：[1]广州市第八人民医院,广东广州510060 [2]武警广东总队医院体检中心,广东广州510507 [3]广州市天河区中医院,广东广州510655

出　　处：《河南中医》2009年第3期258-260,共3页Henan Traditional Chinese Medicine

基　　金：广东省中医药管理局课题(编号:2040048)

摘　　要：目的:运用关联规则探索肝硬变和中医辨证之间的关系。方法:通过对400例肝硬变患者进行关联分析,找出符合最小支持度和最小置信度并形成规则的中医证候。结果:气滞/气郁证和血瘀证最小支持度分别为21%和25%,最小置信度分别为30%和35%,是最符合强规则的中医证候。结论:关联规则是广泛运用的数据挖掘工具之一,能为中医药的深度挖掘和现代化研究提供研究。To probe the relationship between cirrhosis and TCM syndrome differentiation based on association rule. Method： 400 eases of cirrhosis were made correlation analysis to find TCM sydromes which accord with the minimum supports and the minimum confidence and form the rule. Result： The minimum supports of qi-stagnation syndrome and blood stasis syndrome were respectively 21% and 25 %, while their minimum confidence were 30 % and 35 %, which were TCM syndrome according mostly with rules. Conclusion： Association rule, one of the widely-used data mining tools, can offer the deep mining and modem research for Chinese medicine.

关 键 词：关联规则 肝硬变 辨证论治 数据挖掘 

分 类 号：R575.2[医药卫生—消化系统]