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[用于肺癌治疗的多成分中药研发中的关联规则挖掘研究]

[Study on association rule mining in multi-component Chinese medicine research and development for treatment of lung cancer].

作者信息

Lei Lei, Cui Meng, Mi Zhongkai

机构信息

Institute of Information on Traditional Chinese Medicine, Academy of Chinese Medicine Science, Beijing 100700, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2010 Aug;35(16):2192-5.

Abstract

Association rule mining was used to filter high-frequency combinations of chemistry components which were from clinical prescriptions in order to find a new available method for multi-component Chinese medicine research and development. First, 1 120 TCM clinic papers about curing lung cancer were selected from clinic literature database. Second, chemical components were obtained from prescription described in TCM clinic papers through Chinese medicine pharmacological test database. Third, association rule mining was used to find out high-frequency combinations of chemical components. Finally, some interesting conclusions were obtained from association rule mining results through chemical component's pharmacological effects. Association rule mining of Chinese medicine chemical components provided a new method for multi-component Chinese medicine research and development.

摘要

关联规则挖掘用于筛选临床处方中的高频化学成分组合,以期找到一种用于多组分中药研发的新可用方法。首先,从临床文献数据库中选取1120篇关于治疗肺癌的中医临床论文。其次,通过中药药理试验数据库从中医临床论文中描述的处方中获取化学成分。第三,使用关联规则挖掘找出化学成分的高频组合。最后,通过化学成分的药理作用从关联规则挖掘结果中得出一些有趣的结论。中药化学成分的关联规则挖掘为多组分中药研发提供了一种新方法。

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