决策树技术在中医证候学中应用研究思路  

Decision Tree and Its Application in Research on Chinese Medicine Syndrome

作　　者：邹蔚萌[1] 高宏杰[2] 邹忆怀[3] 

机构地区：[1]民航总医院,北京100123 [2]中国中医科学院中医药信息研究所,北京100700 [3]北京中医药大学东直门医院,北京100700

出　　处：《辽宁中医药大学学报》2011年第2期126-128,共3页Journal of Liaoning University of Traditional Chinese Medicine

摘　　要：近年来数据挖掘理论在中医研究中的应用愈加广泛。决策树作为数据挖掘方法之一,具有许多其它传统的统计学方法和机器学习方法无法比拟的优点,将其应用于中医证候学研究,不仅可以从临床诊断数据中辨析证候与症状间的复杂关系,总结归纳中医专家的辨证规律并模拟其诊断推理过程,还可能发现客观有用的新知识以总结专家经验和丰富中医理论,具有重要的使用价值和广阔的发展前景。The theory of Data Mining was introduced to Chinese Medicine recently.As one of these,Decision Tree is a simple mathematical model is established by using computer and correlative statistical software.By providing a better clue for analyzing complicated chinese medical data,it has been applying in researches of Chinese Medicine Syndrome,such as diagnosis,classification,prediction and clinical experience summary.Making a good use of decision tree could overcome some defects of traditional statistical methods.With the deeper application of decision tree,it is to exhibit important application values and broad developing prospects.

关 键 词：数据挖掘 决策树 中医证候 研究思路 

分 类 号：R857.3[医药卫生—航空、航天与航海医学]