| 基于信息熵的决策树在慢性胃炎中医辨证中的应用 |
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| 引用本文： | 徐蕾,贺佳,孟虹,王忆勤,贺宪民,范思昌,郎庆波. 基于信息熵的决策树在慢性胃炎中医辨证中的应用[J]. 中国卫生统计, 2004, 21(6): 329-331 |
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| 作者姓名： | 徐蕾 贺佳 孟虹 王忆勤 贺宪民 范思昌 郎庆波 |
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| 作者单位： | 1. 第二军医大学卫生勤务学系卫生统计学教研室,200433
2. 上海中医药大学基础医学院,200032 |
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| 摘 要： | 目的探讨基于信息熵的决策树在慢性胃炎中医辨证分型中的应用.方法对406例慢性胃炎病例进行bootstrap抽样至2000病例,采用基于信息熵的决策树C4.5算法建立中医辨证模型.结果决策树C4.5算法筛选出影响中医辨证分型的26个重要因素;产生可用于分类的诊断规则;建立辨证模型,模型分类符合率为,训练集83.60%,验证集80.67%,测试集81.25%.结论决策树C4.5算法建立的模型效果较好,可应用于慢性胃炎中医辨证分型的预测.
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| 关 键 词： | 信息熵 决策树 中医证型 数据挖掘 |
The Application of Decision Tree Based on Entropy in Chronic Gastritis of TCM Syndrome Analysis |
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| Xu lei,He jia,He xianmin,et al.. The Application of Decision Tree Based on Entropy in Chronic Gastritis of TCM Syndrome Analysis[J]. Chinese Journal of Health Statistics, 2004, 21(6): 329-331 |
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| Authors: | Xu lei He jia He xianmin et al. |
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| Affiliation: | Xu lei,He jia,He xianmin,et al.Department of Health St atistics,Faculty of Health service,Second Military Medical University,Shanghai 200433,China |
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| Abstract: | Objective To explore the application of decision tree based on entropy in chronic gastritis of analysis.Methods To bootstrap on 406 cases to 2000 ones,and build mo dels for TCM Syndrome using decision tree of C4^5.Results The research selects 23 important factors,produces diagnostic rules and builds models.The accuracy of model is,training set 83^60% ,validation set 80^68%,test set 81^25%.Conclusion The model built by C4^5 is satisfactory and can be put into prediction of chronic gastritis of TCM Syndrome. |
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| Keywords: | Entropy Decision tree TCM Syndrome Data mining |
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