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Syndrome differentiation is an important topic in traditional Chinese medicine (TCM).Decision tree, one of the data mining algorithms developed, is a method to induce rules from data. In this paper, decision tree is applied to extract syndrome differentiation rules from 293 cases related to liver and kidney yin deficiency, damp-heat smoldering and Stasis and heat smoldering syndrome. Thus the decision...
While studying the relationship between the signs, symptoms of TCM and Child-Pugh grade, stage, class based on liver cirrhosis, the number of attribute is important. We use the information gain method to assess the attributes and use 5 classifiers such as logistic, BayesNet, NaiveBayes, RBF and C4.5 to show how the number of attribute effect the classify accuracy. We can see there are some rules between...
Finding the relationship between the objective factors of Western Medicine and the signs or the symptoms of Traditional Chinese Medicine (TCM) is an important topic. Because the factors of Western Medicine can be evaluated objectively and the treatment way of TCM is more effectively to some diseases. In this paper, C4.5 algorithm, one of the Decision Tree, is used to analyze the relationship between...
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