摘要
目的:利用决策树的数据挖掘方法建立冠心病心绞痛合并糖尿病患者临床常规检测指标与气虚证的关联模式。方法:将临床收集的108例冠心病不稳定性心绞痛合并糖尿病患者的临床基本资料、中医四诊信息及临床常规检测指标进行综合分析。在t检验、非参数分析、Spearman相关分析基础上,进一步采用决策树的数据挖掘方法探讨气虚证与临床常规检查指标之间的对应性关系。结果:以射血分数、P-R间期等6个核心指标建立的气虚证决策树模型的检测正确率为77.78%。结论:决策树模型可以清晰、直观的进行冠心病心绞痛合并糖尿病患者气虚证的判断,在气虚证—理化指标对应模式的数据挖掘中体现出一定的优势。
Objective： To establish the association patterns of qi deficiency syndrome and physicocbemical index in coronary heart disease with diabetes patients. Methods： Clinical basic data, four diagnostic information and from 108 coronary heart disease with diabetes patients were observed and analyzed. Tree structure model were built to summarize the correspondence between qi deficiency syndrome and physicochemical index based on T test, nonparametric analysis, Spearman correlation analysis. Results： The accuracy identification rate of tree structure model of qi deficiency syndrome with six core index, such as EF and P-R interval, was 77.78%. Conclusion： Decision tree model can identify qi deficiency syndrome of coronary heart disease with diabetes patients clearly and more intuitive. Decision tree model is a promising method in data mining of qi deficiency syndrome and index association patterns.
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2012年第6期1538-1540,共3页
China Journal of Traditional Chinese Medicine and Pharmacy
基金
国家科技重大新药创制专项(No.2009ZX09502)
北京中医药大学自主选题(No.2009JYBZZ-XS014)~~
关键词
冠心病
糖尿病
决策树
气虚证
理化指标
Coronary heart disease
Diabetes mellitus
Decision tree
Qi deficiency syndrome
Physicochemical index
