Research On Classification Of Blood Stasis Syndrome Of Different Disease

The available diagnosis criterion of Blood Stasis Syndrome (BSS) is the prerequisite for the development & innovation of Promoting Blood Circulation to Remove Stasis. But there is disadvantage in the current BSS diagnosis criterion. With the development of science and technology, it is important and necessary that an up-dated and more practicable BSS diagnosis criterion be made and adopted. The purpose of our study is to demonstrate the diagnosis criterion of BSS by Classifying the BSS by Disease (CBD).Firstly, diagnosis of CBD can supplement the diagnosis criterion of BSS, because it is the basic of the total BSS. After reviewing the symptoms, signs and lab index of BSS in both ancient and modern literatures, we have established the "BSS Quantitative Diagnosis Survey Table" based on the requirement of DME.Secondly, the large sample clinical epidemic survey was carried on in threecenters------Beijing, Yunnan & Fujian. We made questionnaires of BSS and CBD,investigated specialists on the diagnose criterion, and then colleted 1591 cases from the three centers. The data we had gotten was analyzed with mathematical method. Then we studied the diagnosis criterion of CBD and BSS, discovered the relationships among them, and compared the results with the ancient diagnosis of BSS, in order to find the sensibility, specificity, and accuracy of the new diagnosis.On the third step, we verified the data with cluster by latent structure model. It was treated by multiple-dimensions cluster. We found the disease branches and the relationships among the total BSS and sub-BSS, which also match the clinical practice.Fourthly, we took the frequency of the positive symptoms of CBD as various target, working on it with the formula Lijk={LgP(Xjk/Yi)+1} × 10. The total BSS and CBD quantitative diagnosis scale was gotten, and the range of the quantitative diagnosis by maximum likelihood method was confirmed;Then we compared the diagnosis of the BSS with the generally acknowledged previous diagnosis criterion;made retrospective and prospective test on it, creating the hierarchical criterion by cluster analysis. So the light, middle and severe diagnosis criterions were obtained. At the same time, we concluded that the symptom of the disease changed less in BSS. Therefore we draw up the diagnosis criterions of different disease BSS=The total BSS diagnosis+The different disease diagnosis.On the fifth Chapter, we focused on testing the criterion with the correlation of entropy to verify the BSS diagnosis, and to abstract the symptoms of different diseases with entropy. The result implies that the entropy correlation degree is applicable to resolve the traditional Chinese medicine quantitative diagnosis problems. It is not merely able to elevate objectivism and the accuracy of traditional Chinese medicine diagnosed through the data trait attributes, but also help us to discover new medical information to enrich the traditional Chinese medicine theory.A new idea should be focused on the sixth Chapter. Perhaps we are the original finder of the new method who applied and testified the diagnosis with the artificial neural network. It is powerful meritorious capacity of copying and imitating the thought of human being. We used the random neural network ( RNN ) to draw the symptom signs of CBD of BSS, obtained the results which match clinical practice .In the seventh Chapter, we discussed the gradation of BSS based on the combination of the disease and syndrome. We studied the sub-BSS—the accompanied symptoms and signs of BSS to illustrate the feature of the BSS. Meanwhile, we studied the accompanied symptoms and signs of CBD of BSS to probe the difference and consistency of them. We classified the BSS from lower to higher grade, illustrating the relationship between the lower and higher syndrome.Regarding to the different area of BSS, we analyzed the symptoms and lab index with entropy, RNN & one-factor analysis of variance according to different areas. We specially selected the sampling areas from North, Southwest & Southeast of china, where there are highland and coast. As a result, we found that there were significant differences among them. The cause we speculate is the difference of diet, climate and terrain. So we conclude easily that: different areas make different kinds of BSS.