ABSTRACT
Syndrome differentiation and treatment is a unique mode of diagnosis in traditional Chinese medicine （TCM）. The establishment of scientific and standardized syndrome diagnosis standards is an important link to evaluate the clinical efficacy of TCM objectively and systematically， and also a prerequisite for the promotion and development of TCM to obtain international recognition. This article reviewed the basic modes and existed problems of the current syndrome diagnosis criteria， and proposed to construct a multidimensional core information set integrating the minimized core symptoms， the artificial intelligence signs， the multi-modal laboratory indicators， and multi-omics specific markers， so as to present syndrome characteristics from multiple perspectives systematically. This paper also described the basic mode， constructure， as well as the process and methodology to be adopted in the establishment of the standardized diagnostic research method. The core information set of diagnostic symptoms not only took into account the specificity of the disease， but also improved the inconsistency due to the complexity and subjectivity of the syndrome differentiation， thereby providing a methodological basis for the standardization of TCM syndrome differentiation in clinical research.
ABSTRACT
Objective To differentiate Chinese medical syndromes of chronic renal Failure by objective laboratory indexes. Method Data of 312 cases were collected through a retrospective survey and these cases were divided into five Chinese medical syndromes according to an authorized criterion. Laboratory examination indexes of all syndromes were disposed with analysis of variance and discriminant analysis in turn. Result Discriminant functions of four syndromes were worked out and the accuracy of the functions was 60%. Conclusion Differentiation of Chinese medical syndromes should use modern techniques for reference on the base of traditional methods. And through it, a new way even a new system of diagnosis for Chinese medical syndromes in which traditional and modern methods are perfectly combined may be found out.