Core Problems and Solving Strategies of the Research on the Law of TCM Syndrome and Treatment Based on Data Driven

Abstract

Treatment based on syndrome differentiation is the core diagnostic and therapeutic thinking of traditional Chinese medicine (TCM), which is the key to determine clinical efficacy. Nowadays, research based on clinical data is the main method to explore the law of TCM syndrome and treatment, but the internal relationship of the key factors of "disease-syndrome-formula-medicine-effect" has not been truly and comprehensively analyzed, resulting in low clinical value of research results. Therefore, the author systematically sorted out the core problems of poor matching between electronic medical record and clinical research, the effect of data governance on data accuracy, difficulties to discover the law of TCM syndrome and treatment by data analysis methods. In addition, in the context of data driven, the big data platform of TCM clinical research should be established, and the data governance and analysis technology with artificial intelligence as the core should be developed, so as to realize the integration of clinical practice and research, providing new ideas and methods for the research of the law of TCM syndrome and treatment and promoting the development of TCM.

Keywords

• traditional chinese medicine therapy|the law of syndrome and treatment|data driven|data mining|electronic medical record|core problems|solving strategies