燕山大学学报Issue(5)：455-459,5.DOI:10.3969/j.issn.1007-791X.2014.05.014
基于属性偏序原理的仲景经方咳嗽治疗规律知识发现
Knowledge discovery of cough treatment pattern of ZHANG Zhong-jing's classical prescriptions based on partial ordered structure theory
摘要
Abstract
The characteristics of big data, such as comprehensiveness, fuzziness and exploration of correlation provide new research ideas for theories and practices of traditional Chinese medicine. "Treatise on Febrile Diseases"and"Synopsis of Golden Chamber"are the masterpieces of ZHANG Zhong-jing. Classical prescriptions originated from them have the characteristics of big data. Based on the partial ordered structure theory, a comprehensive knowledge exploration of the rules of cough treatment patterns in ZHANG's classical prescriptions is studied. It is found that the partial ordered structure theory makes an excellent presentation of the rules of cough treatment patterns and characteristics of medicine use in the classical prescriptions, and the theory has applicability in related research of classical prescription.关键词
属性偏序/仲景/咳嗽/知识发现/大数据Key words
attribute partial ordered/ZHANG Zhong-jing/cough/knowledge discovery/big data分类
信息技术与安全科学引用本文复制引用
刘树林,徐笋晶,李日东,李赛美,洪文学,朱章志,刘敏..基于属性偏序原理的仲景经方咳嗽治疗规律知识发现[J].燕山大学学报,2014,(5):455-459,5.基金项目
国家自然科学基金资助项目（61273019，61201111，81273740，80373767）；河北省自然科学基金资助项目 （）
