This study used data mining technology to study Professor Kong Guangyi’s medication experience for the treatment of menstrual period. 612 treatments of the medical records of the menstrual period of the patients of Professor Kong Guangyi were collected and data mining technology was used to study his prescribed drug. For single herb, frequency statistical method was used; in association between paired drugs, improved mutual information was used, and the association between multi-herbs, complex system entropy clustering technology was used. There were 30 kinds of drugs that the professor frequently uses, more than 100 times. His commonly used drugs have 24 tastes, with correlation coefficients of above 0.05, and there were 28 commonly used core drug combinations. Research results corresponded with clinical reality. The study has great value by inheriting the essence of the medication of the professor in treating menstruation, and is an important significant guide and practical value for establishing accurate and reliable old Chinese medicine experience mining mode.
Key words: Complex system entropy method, Kong Guangyi, menstrual disease.
Copyright © 2020 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0