Study on Application of Data Mining Technology in Syndrome Differentiation of TCM

机译：数据挖掘技术在中医辨证综合征中的应用研究

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摘要

Study on the applications of association rule mining in traditional Chinese medicine (TCM) knowledge and experience is carried out in this paper. The association rules of disease symptoms and syndrome differentiation, syndrome differentiation and prescription, disease symptoms and prescription are mined by analyzing the cases of patients with chronic gastritis, and then the mined association rules are interpreted that provide the beneficial reference for data mining technology in TCM.

机译：本文实施了关联规则矿业在中医中的应用研究和经验。通过分析慢性胃炎患者的病例，开采了疾病症状和综合征分化，综合征分化和处方，疾病症状和处方，然后解释了采矿协会规则，为中医处的数据挖掘技术提供有益参考。

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来源
《International Conference on Systems Engineering and Modeling》|2013年||共4页
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作者
Dai Zhiguo; Han Yangyang;
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原文格式 PDF
正文语种
中图分类 N945-53;
关键词
Data mining; Association rule; FP-tree algorithm; TCM application;

机译：数据挖掘;关联规则;FP-Tree算法;中TCM应用;

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4. Study on Application of Data Mining Technology in Syndrome Differentiation of TCM [C] . Dai Zhiguo, Han Yangyang International Conference on Advances in Materials Science and Manufacturing Technology . 2013

机译：数据挖掘技术在中医辨证综合征中的应用研究
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7. Study on Application of Data Mining Technology in Syndrome Differentiation of TCM [O] . Zhiguo Dai, Yangyang Han 2013

机译：数据挖掘技术在中医辨证综合征中的应用研究

Study on Application of Data Mining Technology in Syndrome Differentiation of TCM

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