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In this paper, we address the problem of probability estimation of decision trees. This problem has received considerable attention in the areas of machine learning and data mining, and techniques to use tree models as probability estimators have been suggested. We make a comparative study of six well-known class probability estimation methods, measured by(More)
Medical data often contains a large number of irrelevant and redundant features and a relatively small number of cases, which dramatically impact quality of diseases diagnosis. Hence, in quest for higher differentiation quality, feature selection is expected to improve differentiation performance. In this paper, we describe a heuristic approach based on(More)
There is growing evidence that traditional Chinese medicine (TCM) plays an important role in the diagnosis and therapy of diseases. However, it is difficult to be analyzed and understood by modern science, which seriously block its development. So there is an urgent need to explore an automatic diagnosis system of traditional Chinese medicine. This paper(More)
Chronic hepatitis B (CHB) is a serious public health problem, and Traditional Chinese Medicine (TCM) plays an important role in the control and treatment for CHB. In the treatment of TCM, zheng discrimination is the most important step. In this paper, an approach based on CFS-GA (Correlation based Feature Selection and Genetic Algorithm) and C5.0 boost(More)
The collection and process in four diagnostic information of traditional Chinese medicine (TCM) are unsure and fuzzy. So it badly affects the veracity of diagnostic conclusion. This paper, based on former research work and eight principal theory of TCM, develops an intelligent ensemble TCM Eight Principal diagnosis system. Firstly, the acquisition of(More)
Study of traditional Chinese medicine (TCM) syndromes is a key to the research of TCM modernization, and the core is the classification and diagnostic criteria of syndromes. The purpose of this article is to review the usage of classification algorithms of data mining in TCM syndrome researches, and comprehensively analyze the main features of algorithms(More)