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Some Pathological Knowledge Discovered in Large Database of Type 2 Diabetes

Some Pathological Knowledge Discovered in Large Database of Type 2 Diabetes
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摘要 Taking the advantage of the nearly 14 000 items of muhi-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 deci- sion 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. Taking the advantage of the nearly 14 000 items of muhi-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 deci- sion 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.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2007年第3期310-314,共5页 北京理工大学学报(英文版)
基金 Sponsored by the National Natural Science Foundation of China(60671008) the National Science and Technology Support Project(2006038070031) the National"863"Program Project(2006AA02Z429)
关键词 type 2 diabetes risk factors critical value expectation maximization(EM) algorithm C4.5 algorithm type 2 diabetes risk factors critical value expectation maximization(EM) algorithm C4.5 algorithm
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参考文献8

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