Data standardization bottlenecks and processing strategies in traditional Chinese medicine intelligent diagnosis and treatment research
The process of syndrome differentiation and treatment in traditional Chinese medicine(TCM)is a dynamic and individualized thinking and practice process with physicians as the main body and doctor-patient interaction,in which subjective factors play an important role,which is the main reason for the problem of data standardization,and the coexistence of multiple syndrome differentiation systems and academic schools exacerbates this problem,which is manifested in the fact that the name of the data element is not unified and difficult to quantify,the degree of structure is low and multi-source heterogeneous.Processing strategy of TCM diagnosis and treatment data can be divided into compound semantic terms splitting,missing items supplemented,homonymous and synonymous items distinguished,and different names and synonyms unified.According to the different sequences of standardized processing and data collection,it can be divided into pre-standardization,synchronous standardization,and post-standardization processing.The data standards of TCM diagnosis and treatment are becoming more and more perfect,the compatibility and applicability of the standards are improving day by day,and the intelligence of standardized preprocessing is continuously strengthened,which provides the possibility of automation,background and efficiency of data standardization,and the personalization and precision on the basis of data standardization will become the guarantee of the stability of TCM diagnosis and treatment efficacy and the reproducibility of the diagnosis and treatment process.
Intelligent diagnosis and treatment of TCMDiagnostic and therapeutic dataStandardizationResearch review
NETL
NSTL
万方数据
