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Quantitative analysis method for influences of attack risk factors of type 2 diabetes on blood sugar

A type 2 diabetes, risk factor technology, applied in the field of biological information processing and medicine

Inactive Publication Date: 2013-07-10
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0004] The purpose of the invention is to propose a quantitative analysis method based on BP neural network in order to solve the problem of multiple factors affecting the quantitative analysis of blood sugar

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  • Quantitative analysis method for influences of attack risk factors of type 2 diabetes on blood sugar
  • Quantitative analysis method for influences of attack risk factors of type 2 diabetes on blood sugar
  • Quantitative analysis method for influences of attack risk factors of type 2 diabetes on blood sugar

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Embodiment Construction

[0039]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 implementation examples.

[0040] Taking 9,632 pieces of physical examination data from the physical examination center in 2007 and 2008 as input, design and deploy 9 groups of refined crowd verification: (1) verify the data of the whole population, (2) verify the data of males, (3) verify the data of Validate female data, (4) verify data for people older than 50 years old, (5) verify data for people older than 50 years old, (6) verify data for men who are older than 50 years old, (7) verify data for men who are younger than or equal to 50 years old Data verification, (8) data verification for women older than 50 years old, (9 data verification for women less than or equal to 50 years old.

[0041] The training data comes from the actual phys...

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Abstract

The invention relates to a quantitative analysis method for influences of attack risk factors of the type 2 diabetes on the blood sugar, and belongs to the fields of bioinformation processing and medicine. The method comprises the steps of using C4.5 and EM clustering algorithms to realize the selection of important attack risk factors firstly; then dividing all the crowd according to the gender and age; using a BP neural network algorithm to calculate the sensitivity of a specific crowd; and finally realizing the quantitative analysis of the influences of multiple factors on the blood sugar based on the sensitivity. Compared with a great quantity of conventional statistic methods, the invention adopts the data mining method, mutual influences among the multiple factors are considered fully, meanwhile, the quantitative analysis of the influences of the multiple factors on the blood sugar is realized in the specific crowd, the quantitative analysis accuracy is improved greatly, and a determination method can be provided for refining intervention of individual attack. The quantitative analysis method can be used for intervention instruction for the individual type 2 diabetes attack, not only can the attack be prevented or delayed, but also the method can be applied and popularized to the quantitative analysis of other disease risk factors.

Description

technical field [0001] The invention relates to a quantitative analysis method for the influence of multiple factors on blood sugar, which belongs to the fields of biological information processing and medicine. Background technique [0002] Type 2 diabetes has become a major health problem worldwide. It is estimated that by 2025, 380 million people worldwide will suffer from diabetes. At present, my country has become the second largest country with diabetes after India. According to the survey by the Ministry of Health, there are about 3,000 new cases of diabetes every day in my country, and about 1.2 million new cases every year, of which about 95% are type 2 diabetes patients. Type 2 diabetes has become the third chronic disease that seriously affects human health after cancer and cardiovascular and cerebrovascular diseases. Its etiology is the result of the interaction of environmental factors, genetic factors, and lifestyle. At present, the risk factors that have ga...

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Application Information

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IPC IPC(8): G06F19/00G06N3/08
Inventor 罗森林陈松景潘丽敏韩龙飞张铁梅
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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