摘要
大数据全面性、模糊性及探求因果关系转向事物相关性的寻找等特点为中医理论及实践提供了新的研究思路。仲景医学之《伤寒论》及《金匮要略》中的经方内容具有大数据的特点,本文基于属性偏序原理,对仲景经方治疗咳嗽的规律进行全面的知识发现。研究结果表明基于属性偏序原理能很好地展现经方治疗咳嗽的方证规律及药物使用特点,适合用于经方相关研究。
The characteristics of big data, such as comprehensiveness, fuzziness and exploration of correlation provide newresearchideas for theories and practices of traditional Chinese medicine. "Treatise on Febrile Diseases" and "Synopsis of Golden Chamber"are themasterpieces of ZHANGZhong-jing. Classical prescriptions originated fromthemhave the characteristics of big data. Basedon the partial ordered structure theory, a comprehensive knowledge exploration of the rules of cough treatment patterns in ZHANG'sclassical prescriptions is studied. It is found that the partial ordered structure theory makes an excellent presentation of the rules ofcough treatment patterns and characteristics of medicine use in the classical prescriptions, and the theory has applicability in relatedresearch of classical prescription.
出处
《燕山大学学报》
CAS
2014年第5期455-459,共5页
Journal of Yanshan University
基金
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(F2013203368)
关键词
属性偏序
仲景
咳嗽
知识发现
大数据
attribute partial ordered
ZHANG Zhong-jing
cough
knowledge discovery
big data