Digitalization Of TCM Syndrome Classification Of Hypertension Based On Data Mining Method

Objective: To study the TCM syndrome differentiation of hypertension based on digital differentiation and to explore the most scientific digital method of TCM syndrome differentiation.Methods: Using CiteSpace(visualization software)knowledge map related literatures on TCM syndrome of hypertension,analysis of the current research on TCM syndrome type of hypertension,put forward research direction and method.At the same time from the Affiliated Hospital of Human Academy of Chinese Medicine Department of cardiology ward of hypertension patients with 124 cases of medical records,to establish a database,using clinical decision tree,support vector machine and Bayesian network three data mining classification method for classification of hypertension treatment.This paper attempts to apply the method of dynamic uncertain causality diagram(DUCG)to the diagnosis of hypertension,and to establish the DUCG inference model of TCM syndrome differentiation.Results: The use of CiteSpace(visualization software)of TCM syndrome of hypertension literature analysis:(1)study with TCM syndrome type for clinical research;(2)hypertension and other diseases is the heat of the study;(3)TCM syndrome type most scholars is Yinxuyangkang syndrome and liver kidney yin deficiency syndrome.The results of the data mining classification method for clinical cases are as follows: Bayesian network classification algorithm has the highest accuracy,the shortest time,that is,the best classification algorithm of the three methods is the Bayesian network algorithm.Conclusion: Digital Research on TCM syndrome differentiation of hypertension is a multiple disciplinary engineering system,fully carry out the core and key of this disease syndrome is the digital digital differential method to use scientific and reasonable and in line with the characteristics of nonlinear,TCM uncertainty and hypertension.The use of three kinds of data mining methods in Bayesian network classification is one of the best classification method,but the reliability is low,and still failed to cover the uncertainty and complexity of traditional Chinese medicine;and then discusses the Uncertain Dynamic Causality Diagram(DUCG)this method of intelligent diagnosis used in the diagnosis of hypertension.Therefore,we need to integrate a variety of intelligent technologies and methods to form a synergy between the various methods.