Study On The Traditional Chinese Medicine Syndrome Of Lower Extremity Arteriosclerossis Obliterans Based On Data Mining

Objective:To investigate the syndrome connotation, the impact of factors and change rules of lower extremity arteriosclerossis obliterans (ASO). Then to attempt to preliminary maping out the diagnosis scheme of basic syndrome and exploring the physicochemical indexs influenced syndrome factors in ASO.Methods:Reference for the evidence-based medicine concept, to analyze the literature of ASO about Traditional Chinese medicine(TCM) syndrome in nearly 26 years and the clinical data from 669 cases which hospitalization in the peripheral vascular department in the affiliated hospital of the TCM of Shandong University within nearly 14 years by using clustering analysis and factor analysis, Logistic regression and other modern data mining methods. The data system was constructed for the study of syndrome and influence factors.Results:?Syndrome of blood stasis?pyrotoxn?cold?dampness-heat?blood stasis-heat?deficiency of qi and blood?yang deficiency?deficiency of qi and blood stasis are the common syndromes of ASO and the first three were basic syndromes; Blood stasis?heat?cold?dampness?deficiency of qi?deficiency of blood?deficiency of yin?deficiency of yang?coagulation of tan are the common factors of syndrome and the first three were basic syndrome factors.?The diagnosis scheme of basic syndrome of ASO is constructed, and physicochemical indexs which is closely related to syndrome factors of ASO were screened.Conclusions:In the study of TCM syndrome, the form which simplified syndrome factors of ASO are more feasible, but the research of syndrome factors should not depart from corresponding syndromes. Data Mining offers us a new method in research of syndrome differentiation, it will make great progress in modernization of TCM.