| 贝叶斯网络在中药有效组分五味预测中的应用 |
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| 引用本文： | 张培,李江,王耘,乔延江.贝叶斯网络在中药有效组分五味预测中的应用[J].世界科学技术-中医药现代化,2008,10(5):114-117. |
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| 作者姓名： | 张培 李江 王耘 乔延江 |
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| 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 |
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| 基金项目： | 科技部国家“973”计划(2005CB523401):组分配伍与饮片配伍的相关性研究，负责人：郑虎占; 北京市重点实验室(JD100260652):清热解毒中药有效成分发现的方法学研究，负责人：乔延江; 中药抗病毒有效物质基础研究(XK100270569)，负责人：乔延江。 |
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| 摘 要： | 目的:应用贝叶斯网络学习算法预测中药有效组分的五味。方法:基于现代药理实验数据构建中药五味的贝叶斯网络模型,获取贝叶斯网络拓扑图和条件概率表。结果:所建模型稳定可靠,可用于预测中药或中药有效组分的五味。结论:贝叶斯网络可用于中药或中药组分五味的预测,为中药药性研究提供一种新的研究方法,对组分药性及组分配伍研究具有重要意义。
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| 关 键 词： | 组分药性 五味 数据挖掘 贝叶斯网络 |
| 收稿时间： | 2008/6/14 0:00:00 |
| 修稿时间： | 8/4/2008 12:00:00 AM |
Bayesian Belief Network and Its Application in Predicting the Five Flavors of Chinese Medicinal Components |
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| Zhang Pei,Li Jiang,Wang Yun and Qiao Yanjiang.Bayesian Belief Network and Its Application in Predicting the Five Flavors of Chinese Medicinal Components[J].World Science and Technology-Modernization of Traditional Chinese Medicine,2008,10(5):114-117. |
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| Authors: | Zhang Pei Li Jiang Wang Yun and Qiao Yanjiang |
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| Institution: | Research Center of TCM-information Engineering; Beijing University of Chinese Medicine; Beijing 100102;Research Center of TCM-information Engineering; Beijing University of Chinese Medicine; Beijing 100102 |
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| Abstract: | This is a paper to measure the five flavors of Chinese medicinal components using the Bayesian belief network (BBN).Authors established Bayesian five-flavor network models based on experimental pharmacologic data.The structures and conditional probability tables of BBN were obtained.It is found that the models are reliable and stable, desirable for measuring the five flavors of Chinese medicinal components.It is concluded that the Bayesian belief network can be used to measure the five flavors of Chinese me... |
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| Keywords: | Nature of components Five flavors Data mining Bayesian belief network |
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