| 中医辅助诊断中带复合项的关联规则挖掘算法 |
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| 引用本文： | 戴浩,方思行.中医辅助诊断中带复合项的关联规则挖掘算法[J].暨南大学学报,2005,26(3):337-340,349. |
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| 作者姓名： | 戴浩 方思行 |
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| 作者单位： | 暨南大学计算机科学系,广东,广州,510632;暨南大学计算机科学系,广东,广州,510632 |
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| 基金项目： | 国家自然科学基金（90209004）重点资助项目;广东省自然科学基金（021149）资助项目 |
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| 摘 要： | 从使用计算机辅助中医诊断症状组合复杂的疾病应用出发，采用关联规则挖掘解决验证和更新疑难疾病诊断标准的问题．然后，结合规则模板的概念，提出一种受限的带复合项的关联规则挖掘算法，使之能较好地适应中医辅助诊断应用。
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| 关 键 词： | 关联规则挖掘 复合项 中医辅助诊断 |
| 文章编号： | 1000-9965（2005）03-0337-04 |
| 收稿时间： | 2004-04-14 |
| 修稿时间： | 2004-04-14 |
An algorithm for mining association rules with composite items in computer-aided diagnosing of traditional Chinese medicine |
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| DAI Hao,FANG Si-xing.An algorithm for mining association rules with composite items in computer-aided diagnosing of traditional Chinese medicine[J].Journal of Jinan University(Natural Science & Medicine Edition),2005,26(3):337-340,349. |
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| Authors: | DAI Hao FANG Si-xing |
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| Abstract: | In diseases diagnosis of the traditional Chinese medicine the symptoms are various and complicated. The computer-aided diagnosing and data mining techniques are used to help herbalist doctors verify and update diagnostic standards of complex diseases. The concept of rule's templates is introduced and an algorithm of mining restrained association rules with composite items is proposed to fit the applications of computer-aided diagnosing for the traditional Chinese medicine. |
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| Keywords: | mining association rules composite items computer-aided diagnosing traditional Chinese medicine |
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