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A biomedicine determinant attribute selecting method

A key attribute, biomedical technology, applied in the field of biomedical key attribute selection, to achieve the effect of ensuring credibility, obvious differences between algorithms, and obvious differences

Inactive Publication Date: 2017-09-15
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0016] The purpose of the invention is to propose a method for attribute selection based on boruta-logic regression for solving the problem of attribute selection in biomedical data

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  • A biomedicine determinant attribute selecting method
  • A biomedicine determinant attribute selecting method
  • A biomedicine determinant attribute selecting method

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Embodiment Construction

[0042] 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.

[0043] All the following tests are completed on the same computer, the specific configuration is: Intel dual-core CPU (main frequency 2.53G), 4G memory, Windows 7 operating system.

[0044] The data used in the test comes from the intensive lifestyle intervention management data of type 2 diabetes high-risk individuals in cooperation with the Institute of Gerontology of Beijing Hospital. The RSD judgment is made on the enrollment status of the interviewees in the intervention group, and the data of high-risk groups are selected for inclusion. A total of 452 bar sample.

[0045] The RSD risk status is judged again on the data half a year after the intervention. Those who maintain high risk are divided into category 0, and those wh...

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Abstract

The invention relates to a biomedicine determinant attribute selecting method and belongs to the technical field of biomedicine. The method comprises the steps of analyzing the significance of to-be-selected attributes by using the boruta algorithm firstly and extracting important attributes having influence on research targets; building a logistic regression model by using the to-be-selected attributes and performing stepwise regression by using AIC rules to obtain attributes having remarkable influence on the research targets; for the attributes obtained through the two methods, based on opinions of experts, performing attribute fusion by using an intersection and classification method to obtain final determinant attributes. Two different methods are used for select attributes having influence on research targets and the algorithms are obviously different from each other, so that the limitation of single methods is avoided and the generalization of determinant attributes can be improved.

Description

technical field [0001] The invention relates to a method for selecting biomedical key attributes. From the perspective of application scope, it belongs to the field of biomedical technology; from the perspective of technical realization, it also belongs to the field of computer science and biological information processing technology. Background technique [0002] In recent years, the rapid development of biomedical research, especially the improvement of measuring instrument technology and the promotion of hospital information systems, has enabled a large amount of medical information to be accurately recorded, resulting in explosive growth of medical data. However, while a large amount of rich and complex data brings sufficient information to the research work, it also brings greater challenges to the analysis and processing of researchers. The overall process of data mining includes data acquisition, data preprocessing, knowledge mining, model evaluation and knowledge ap...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 罗森林潘丽敏张岳峰胡雅娴
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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