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| 基于药理作用的组分中药药性预测研究 | |
| 引用本文： | 胡亚楠,任颖龙,曹佳,王梅,王耘,乔延江. 基于药理作用的组分中药药性预测研究[J]. 中国中药杂志, 2014, 39(13): 2382-2385 |
| 作者姓名： | 胡亚楠 任颖龙 曹佳 王梅 王耘 乔延江 |
| 作者单位： | 北京中医药大学 中药信息工程研究中心, 北京 100102;北京中医药大学 中药信息工程研究中心, 北京 100102;北京林业大学 信息工程学院, 北京 100083;北京中医药大学 中药信息工程研究中心, 北京 100102;北京中医药大学 中药信息工程研究中心, 北京 100102;北京中医药大学 中药信息工程研究中心, 北京 100102 |
| 基金项目： | 国家自然科学基金项目（81373985，81173568）；教育部新世纪优秀人才支持项目（NECT-11-0605）；国家科技支撑计划项目（2008BAI51B01）；北京中医药大学科研创新团队支持项目（2011-CXTD-11） |
| 摘 要： | 目的：利用决策树算法研究中药药理作用与其药性之间的关系。方法：在中药药理作用的基础上，利用决策树算法研究中药药性与药理作用之间的关系，并利用建立的决策树模型对中药组分进行了药性预测。结果：建立的模型稳定可靠，可用于中药或组分中药的药性预测。结论：用决策树模型对组分中药药性的预测，在一定程度上正确反映出组分中药的药性理论内涵，为组分中药药性研究提供了一种新的方法。 |
| 关 键 词： | 组分药性 决策树 数据挖掘 药理作用 |
| 收稿时间： | 2013-11-27 |
Predictive study on properties of traditional Chinese medicine components based on pharmacological effects |
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| HU Ya-nan,REN Ying-long,CAO Ji,WANG Mei,WANG Yun and QIAO Yan-jiang. Predictive study on properties of traditional Chinese medicine components based on pharmacological effects[J]. China Journal of Chinese Materia Medica, 2014, 39(13): 2382-2385 | |
| Authors: | HU Ya-nan REN Ying-long CAO Ji WANG Mei WANG Yun QIAO Yan-jiang |
| Affiliation: | Information Engineering Research Center for Traditional Chinese Medicines, Beijing University of Chinese Medicine, Beijing 100102, China;Information Engineering Research Center for Traditional Chinese Medicines, Beijing University of Chinese Medicine, Beijing 100102, China;College of Information Engineering, Beijing Forestry University, Beijing 100083, China;Information Engineering Research Center for Traditional Chinese Medicines, Beijing University of Chinese Medicine, Beijing 100102, China;Information Engineering Research Center for Traditional Chinese Medicines, Beijing University of Chinese Medicine, Beijing 100102, China;Information Engineering Research Center for Traditional Chinese Medicines, Beijing University of Chinese Medicine, Beijing 100102, China |
| Abstract: | Objective: To study the relationship between pharmacological effects and properties of traditional Chinese medicine by the decision tree algorithm.Method: Based on of pharmacological effects of traditional Chinese medicine, the decision tree algorithm was applied in the study on the relationship between pharmacological effects and properties of traditional Chinese medicines. A model was established with the decision tree algorithm for the purpose of predicting the properties of traditional Chinese medicine components.Result: The established model was reliable and stable, and could be used to predict the properties of traditional Chinese medicine components.Conclusion: The prediction for the properties of traditional Chinese medicine components with a decision tree model could reflect the theoretical connotation of the properties of traditional Chinese medicine components to some extent and provide a new method for studying the properties of traditional Chinese medicine components. |
| Keywords: | property of traditional Chinese medicine component decision tree data mining pharmacological effect |