Method for judging 2 type diabetes mellitus risk state

A type 2 diabetes, state judgment technology, applied in the field of biomedicine

Inactive Publication Date: 2013-02-13
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0018] The purpose of the present invention is to solve the problem of determining the risk status of type 2 diabetes, and propose a method for determining the risk status of type 2 diabetes based on key attribute extraction and logistic regression, wherein the key attribute extraction adopts EM clustering and C4.5 classification to realize the impact on 2 Extraction of key attributes for the onset of type 2 diabetes

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  • Method for judging 2 type diabetes mellitus risk state
  • Method for judging 2 type diabetes mellitus risk state
  • Method for judging 2 type diabetes mellitus risk state

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Embodiment Construction

[0080] In order to better illustrate the purpose and advantages of the present invention, the implementation of the method of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples.

[0081] Taking the cluster sampling cross-sectional data of 17,946 people from scientific research institutes in Xicheng District and Haidian District of Beijing from February to September 2001, 59,839 cross-sectional data and 2,288 follow-up data of the Chinese Academy of Sciences from 2001 to 2007, the design and Three tests were deployed: (1) the main attribute extraction test for the 17,946 cross-sectional data that affects the onset of type 2 diabetes; (2) the risk status determination feasibility test for the 59,839 cross-sectional data; (3) the follow-up for 2,288 Data risk status determination validity test.

[0082] The above three test procedures will be described one by one below. All tests are completed on the same com...

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Abstract

The invention relates to a method for judging 2 type diabetes mellitus risk state and belongs to the technical field of biomedicine. The method includes that EM clusters and C4.5 classification are utilized to extract determinant attributes affecting attack of the 2 type diabetes mellitus, the crowd is divided into different cluster groups according to own characteristics, according to determinant attributes extracted results and a Logistic regression method, personal or crowd risk state is judged by combining metabolic syndrome and high risk group criterions. The determinant attributes affecting the 2 type diabetes mellitus are obtained, simultaneously, different risk state judgment models are built based on different characteristics of the crowd, the universality and practicability of the models are improved, the requirements of real-time processing and mobile computation are met, the effective degree of the determinant attributes is estimated through a quantitative analysis method, the complexity is low, the accuracy is high, and the divided risk state is detailed.

Description

technical field [0001] The invention relates to a method for judging the risk state of type 2 diabetes, belonging to the technical field of biomedicine. Background technique [0002] With the rapid increase of risk factors such as socioeconomic development, lifestyle changes, and population aging, the prevalence of type 2 diabetes and its complications is rising rapidly. According to the survey results in 2008, among adults over 20 years old, the prevalence rate of age-standardized diabetes is 9.7%, and the proportion of pre-diabetes is as high as 15.5%. Therefore, it is an effective way to control the prevalence of diabetes to take early preventive measures for people at risk of diabetes and to prevent the disease before it occurs. As an important tool for population screening, diabetes risk status determination tools are receiving more and more attention from medical personnel. The judgment of diabetes risk status mainly tends to assess the risk status of the disease, wh...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 罗森林张铁梅陈峰
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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