燕山大学学报Issue(5)：446-450,5.DOI:10.3969/j.issn.1007-791X.2014.05.012
基于属性偏序理论的李赛美教授运用柴胡类方思路探析
Research on Professor LI Sai-mei's clinical experience of using Chaihu decoction based on partial ordered structure theory
摘要
Abstract
The research on Classical formula is one of the focuses of present researches in TCM. However, it is a multifaceted complicated engineering. So the massive high-dimensional data becomes a barrier to the single traditional data mining technology. As the age of big data is coming, a new method is proposed for analysis of big data based on partial ordered structure theory in order to achieve a visualization of rules of diagnosis and treatment in TCM. On the foundation of partial ordered structure theory and cli-nical records, the research makes an analysis on the differentiation treatment of diabetes and wart disease using Chaihu decoction prescriptions given by Professor LI Sai-mei. The conclusion demonstrates that the proposed method make an objective presentation of the theoretical system in TCM, and lay a solid foundation for the establishment of an individualized treatment system of TCM syndrome differentiation and treatment.关键词
形式概念分析/属性偏序结构图/柴胡类方/李赛美Key words
formal concept analysis/attribute partial ordered structure diagram/partial ordered structure/Chaihu decoction/LI Sai-mei分类
信息技术与安全科学引用本文复制引用
徐笋晶,李赛美,朱章志,刘煜洲,李日东,刘超男..基于属性偏序理论的李赛美教授运用柴胡类方思路探析[J].燕山大学学报,2014,(5):446-450,5.基金项目
国家自然科学基金资助项目（61273019，61201111，81273740，81373767）；河北省自然科学基金资助项目 （）
