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A method for filling gaps in biomedical data

A biomedical and missing data technology, applied in the field of biomedicine, can solve problems such as vacant values ​​of biomedical data

Inactive Publication Date: 2016-05-18
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0011] The purpose of the invention is to solve the problem of vacant values ​​in biomedical data, and propose a method for making up for vacant data based on EM clustering-BP neural network

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  • A method for filling gaps in biomedical data
  • A method for filling gaps in biomedical data
  • A method for filling gaps in biomedical data

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Embodiment Construction

[0051] 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.

[0052] Using cluster sampling cross-sectional data of 59,839 people from scientific research institutes in Xicheng District and Haidian District of Beijing from February 2001 to September 2007 as input, three tests were designed and deployed: (1) Constructed for 59,839 pieces of cross-sectional data Test the feasibility of the compensation model based on EM clustering-BP neural network; (2) test the effectiveness of compensation accuracy for 59839 cross-sectional data under different missing ratios; (3) test the validity of the compensation model for 59839 cross-sectional data The validity test of the compensation accuracy of the compensation algorithm based on SVR and EM clustering-BP neural network.

[0053] The above three tes...

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Abstract

The invention relates to a biomedicine missing data compensation method based on an EM cluster-BP neural network and belongs to the technical field of biomedicine. According to the method, an iterative algorithm EM algorithm which is important in processing incomplete data problems is adopted, different missing data are partitioned in different clusters according to an EM cluster and primary compensation is completed; and models are established for complete data in each cluster through a BP neural network method and precise compensation of the missing data in each cluster is finished. According to the biomedicine missing data compensation method, adaptability of a compensation algorithm to any missing mechanism is enhanced to a certain degree, accuracy of compensation is improved and the method is suitable for the biomedicine missing data compensation field.

Description

technical field [0001] The invention relates to a method for supplementing biomedical vacant data, which belongs to the technical field of biomedicine. Background technique [0002] In recent years, with the continuous development of computer science and technology, data mining technology has been widely used in various fields. The overall process of data mining includes problem understanding, data acquisition and understanding, preprocessing, data mining, model evaluation, and knowledge application. The success and applicability of data mining depend to a large extent on data quality. However, in the process of mining biomedical data, the phenomenon of incomplete data is inevitable, and there are different degrees of vacant data, also known as vacant values. In order to effectively apply data mining methods and systems in the field of biomedical research, we must face the challenge of incomplete data. [0003] For the field of biomedical research, there are many reasons f...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06N3/08
Inventor 罗森林韩龙飞潘丽敏张铁梅
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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