Design of Knowledge Graph of Traditional Chinese Medicine Prescription and Knowledge Analysis of Implicit Relationship
Yan Chen, Gong Qingyue, Qiu Jingjing, Chenlin Li, Zeng Xing, Wu Haoyu, Wu Rixin, Zhang Meilin, Su Junkang, Kongfa Hu · 2020
Purpose-As of March 2020, this paper collected 41 prescriptions for Covid-19 in official reports, and used machine learning and knowledge graph technology to discover the rules of common prescription medication for Covid-19 and the Chinese medicinal herb groups applicable to different groups of people to help the TCM prescriptions for the clinical treatment of Covid-19. Methods-The FP-Growth algorithm was used to analyze the properties, tastes, and meridian tropism of Chinese medicinal herb groups in prescription data, constructing a knowledge graph for Covid-19 description and mining the prescription medication rules.