| 数据挖掘方法在中医证候学中的应用 |
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| 引用本文： | 孔丽娅,柴可夫,牛永宁.数据挖掘方法在中医证候学中的应用[J].浙江中医药大学学报,2014(6):825-827. |
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| 作者姓名： | 孔丽娅 柴可夫 牛永宁 |
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| 作者单位： | 浙江中医药大学,杭州310053 |
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| 基金项目： | 国家自然科学基金（81273615）; 浙江省中医药防治重大疾病攻关计划（2011ZGG004）; 浙江省高等院校访问学者专业发展项目（FX2013051）; 浙江中医药大学校级重点课题（2011ZZ01） |
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| 摘 要： | 目的]探讨中医证候诊断的统计学分析方法。方法]采用决策树、贝叶斯网络、神经网络、多元统计、聚类、关联规则等多种数据挖掘（data mining,DM）的统计方法,从众多的中医病症数据中,寻找规律性,提取出事先未知而潜在有用的信息,归纳中医证候的辨证分型。结果]可作为实现中医证候规范化的一种工具。结论]符合中医病症数据特点的统计方法,在证候研究中越来越受到重视;联合应用DM的数种方法进行中医证候的探索可起到事半功倍的效果。
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| 关 键 词： | 数据挖掘 中医证候 决策树 神经网络 结构方程 |
Investigate the Statistical Analysis Method for the Diagnosis of Syndromes in TCM |
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| Kong Liya,Chai Kefu,Niu Yongning.Investigate the Statistical Analysis Method for the Diagnosis of Syndromes in TCM[J].Journal of Zhejiang University of Traditional Chinese Medicine,2014(6):825-827. |
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| Authors: | Kong Liya Chai Kefu Niu Yongning |
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| Institution: | Zhejiang( Chinese Medical University, Hangzhou 31005 3) |
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| Abstract: | Objective]To investigate the statistical analysis method for the diagnosis of syndromes in TCM.Methods]Using decision tree,bayesian networks,neural networks,multivariate statistics,clustering,association rules,and other statistical methods of data mining,data from a host of TCM symptoms,seek regularity,to extract the unknown and potentially useful information in advance and syndrome differentiation of traditional Chinese medicine.Results] It can implement type of syndrome standardization as a tool.Conclusion]According with the characteristics of TCM symptoms data statistics,more and more shall be taken seriously in the study of syndrome;Combined use of several kinds of methods for data mining exploration of syndromes can have twice the result with half the effort. |
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| Keywords: | data mining TCM syndremes decision tree neural network structural equation |
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