摘要： 针对中医临床中的药症关系知识发现问题，在计算药症相关相似度的基础上，采用Biclustering分析方法获得中医临床诊疗中的重要药物配伍信息，并发现与这些药物配伍相应的临床症状。研究结果表明，Biclustering方法是一种有效的中医药物配伍和药症关系分析方法。
关键词:
聚类,
据挖掘,
医药症关系,
图最小交叉
Abstract: To solve the issue of knowledge discovery on Traditional Chinese Medicine(TCM) herb-symptom relationship, this paper uses Biclustering method to gain the important medicine combination information in TCM clinical diagnosis by computing the herb-symptom similarity. Study results show that Biclustering is an efficient analysis method of TCM medicine combination and herb-symptom relationship.
Key words:
clustering,
data mining,
Traditional Chinese Medicine(TCM) herb-symptom relationship,
bigraph minimization crossing
中图分类号:
庄力, 周雪忠, 贾彩燕, 于剑, 张润顺, 王映辉. 基于Biclustering的中医药症关系分析[J]. 计算机工程, 2010, 36(11): 241-243.
PENG Li, ZHOU Xue-Zhong, GU Cai-Yan, XU Jian, ZHANG Run-Shun, WANG Yang-Hui. Analysis of TCM Herb-symptom Relationship Based on Biclustering[J]. Computer Engineering, 2010, 36(11): 241-243.