首页> 外文会议>2009 IEEE International Symposium on IT in Medicine Education( IEEE 教育与医药信息化国际会议)论文集 >Correlation Rule Study of Symptom in Traditional Chinese Medicine and Biological Parameter
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Correlation Rule Study of Symptom in Traditional Chinese Medicine and Biological Parameter

机译:中医症状与生物参数的相关规律研究

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Correlate macroscopic syndrome and microscopic indexes is a very urgent and difficult problem in Traditional Chinese Medicine (TCM). The aim of this study was to establish correlative rule of Symptom in TCM and biological parameter and establish biological parameter diagnosis pattern of Symptom in TCM. Twenty-two biological parameters were detected on thirty-two unstable angina with qi deficiency syndrome patients and ten healthy people. Using decision tree, we gain a pattern made by three biological parameters which could distinguish unstable angina with qi deficiency syndrome patients from the healthy people. The diagnosis accuracy could reach 75%. The obtained patterns are validated by 3- fold cross validation. The decision tree may be a suitable data mining method for the establishment of correlative rule of Symptom in TCM and biological parameter and for the discovery of illness or symptom in TCM diagnosis pattern.
机译:相关宏观综合征和微观指数是中药(TCM)中的一个非常紧迫和难的问题。本研究的目的是在中医和生物学参数中建立相关症状的相关规则,并在中医中建立生物学参数诊断模式。在三十二个不稳定的心绞痛中检测到二十二个生物学参数,用气虚综合征患者和十名健康人。使用决策树,我们获得了三种生物学参数制成的模式,其可以将不稳定的心绞痛与来自健康人的Qi缺乏症患者区分。诊断精度可达到75%。所获得的模式通过3倍交叉验证验证。决策树可以是用于在中医和生物学参数中建立相关症状相关规则的合适的数据挖掘方法,以及在中医诊断模式中发现疾病或症状。

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