This paper analyzed the"non-standardization"phenomenon of syndrome differentiation in traditional Chinese medicine(TCM)from the diagnosis process.It is proposed that the symptoms and signs collected by the four examinations of inspection,listening/smelling,inquiry,and palpation naturally have a certain"ambiguity",which can be reduced by the comparison and comprehensive condensation(comprehensive analysis of the four examina-tions)of a large amount of multi-dimensional clinical data,thereby realizing the sublimation of TCM diagnosis from"ambiguity"of four examinations to"accuracy"of diagnostic conclusion.Based on the above assumptions,this paper further proposed a research idea of intelligent syndrome differentiation in TCM,that is,by taking the clinical thinking ability of TCM physicians as the core,adopting artificial intelligence technology based on knowledge graph visualiza-tion,integrating the complex network association and reasoning method of"symptom-pathogenesis-syndrome"linked by pathogenesis,and through the automatic analysis and reasoning process of a large amount of multi-dimensional and ambiguous clinical data,the intelligent TCM diagnosis based on syndrome differentiation can be realized.
关键词
中医诊断/辨证论治/人工智能/模糊性/精确性
Key words
traditional Chinese medicine diagnosis/treatment based on syndrome differentiation/artificial intelli-gence/ambiguity/accuracy
万方数据