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

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.