Knowledge analysis method and system for elderly health data

A technology of knowledge analysis and health data, applied in the field of data processing, can solve the problem of low accuracy of analysis results

Pending Publication Date: 2020-01-24
HEFEI UNIV OF TECH
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Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a method and system for analyzing knowledge of elderly health data, which solves the technical problem that the accuracy of the analysis results is not high

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  • Knowledge analysis method and system for elderly health data
  • Knowledge analysis method and system for elderly health data
  • Knowledge analysis method and system for elderly health data

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Embodiment Construction

[0052] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0053] The embodiment of the present application solves the problem of low accuracy of the analysis method of the health survey data in the prior art by providing a method and system for analyzing the knowledge of the elderly health data, and realizes the analysis of independent variables in the elderly health survey data from multiple dimensions It can accurately and comprehensively analyze the factors affecting the health of the ...

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Abstract

The invention provides a knowledge analysis method and a system for elderly health data, and relates to the technical field of data processing. The invention puts forward a feature selection method based on integrated learning, construct a knowledge discovery model, and integrates the evaluation index based on machine learning and the interpretation machine learning evaluation method, so that theknowledge discovery model of the elderly health survey data has evaluation indexes and an explanatory evaluation method is also introduced, which can help analyze the relationship between independentvariables and dependent variables in the elderly health survey data from multiple dimensions. Thus, the influencing factors of the elderly health are accurately and comprehensively analyzed.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and system for analyzing knowledge of elderly health data. Background technique [0002] Elderly health data includes personal data on daily activities, instrumental activities, education, job type, exercise habits, dietary health, medical services, and mental state. Elderly health data has the characteristics of complexity, precision, security, heterogeneity and closure. A comprehensive analysis and research on the factors affecting the health of the elderly is of great significance for scientific understanding of the health problems of aging and the realization of healthy aging. [0003] For a long time, the analysis methods of health census data have been statistical methods or simple linear regression analysis, that is, by proposing hypotheses and then mining to verify the relationship in the data. [0004] However, although the existing analysis methods of...

Claims

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Application Information

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IPC IPC(8): G16H50/70G16H10/20
CPCG16H50/70G16H10/20
Inventor 顾东晓李童童李兴国王晓玉江政陆文星钟金宏赵树平杨雪洁苏凯翔叶紫薇苗夏雨
Owner HEFEI UNIV OF TECH
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