Some Pathological Knowledge Discovered in Large Database of Type 2 Diabetes |
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Authors: | LUO Sen-lin GAO Juan JIA Hong-bo WANG Heng ZHANG Tie-mei HAN Yi-wen |
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Affiliation: | 1. School of information Science and Technology, Beijing Institute of Technology, Beijing 100081, China 2. Beijing Institute of Geriatrics, Ministry of Health, Beijing 100730, China |
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Abstract: | Taking the advantage of the nearly 14000 items of multi-source, multi-dimension practical dataset of type 2 diabetes, and a series of data mining experiments are designed to seek for important type 2 diabetes risk factors and their relationships with blood glucose. The valuable pathological knowledge includes, the decision tree is almost identical with the list of clinical diabetic risk factors; 9 items important risk factors of type 2 diabetes were found, and the relationship between the main risk factors and the blood glucose, and the feature of critical value of the risk factors were given too in this paper. These valuable results are good to the cure and macro-control type 2 diabetes. |
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Keywords: | type 2 diabetes risk factors critical value expectation maximization(EM) algorithm C4.5 algorithm |
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