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As a complementary and alternative system to Western medicine, traditional Chinese medicine (TCM) forms an integrated and unique approach to treat diseases. In response to the subjectivity and fuzziness of TCM, quantitative methods are needed. In TCM, the symptoms are often high dimensional and the redundant and irrelevant symptoms may degrade the performance of classifiers. Therefore, a critical...
Support vector machines (SVM) have been widely used in many scientific research fields. This paper introduces an original study about the treating experiences of prominent traditional Chinese medicine (TCM) doctors on coronary heart disease (CHD) using SVM, and to investigate the general laws of prominent TCM doctors for treating CHD. A database of diagnosing and treating CHD was set up on the basis...
Traditional chinese medicine (TCM) is one of the most important complementary and alternative medicines. In this paper, a novel computerized diagnostic method based on decision tree (DT) is proposed for promoting standardization and popularization of TCM diagnosis. In TCM, the symptoms are often high dimensional. Although DT induction algorithm has a feature selection scheme included in its learning...
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