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Bayesian Belief Network and Its Application in Predicting the Five Flavors of Chinese Medicinal Components
Author(s): 
Pages: 114-117,125
Year: Issue:  5
Journal: World Science and Technology-Modernization of Traditional Chinese Medicine

Keyword:  组分药性五味数据挖掘贝叶斯网络;
Abstract: 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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