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Correction method of user data

A user data and data technology, applied in the field of data processing, can solve problems such as damage to data integrity, false data logic, inconsistency, etc., to achieve the effect of ensuring integrity and validity, improving accuracy, and improving effectiveness

Active Publication Date: 2019-11-15
北斗云谷(北京)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to problems such as omissions or errors in the input of users' personal information data, there are problems such as missing data, false data or logical inconsistencies in the collected user data.
Missing data and false data not only damage the integrity of the data, but also lead to bias in the conclusion of data analysis
In order to avoid this situation, these missing data are often pre-filled. However, traditional big data supplementation / verification methods generally have the problem of low accuracy of missing data filling and false data verification.

Method used

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  • Correction method of user data

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] Such as figure 1 As shown, the method for correcting user data provided in Embodiment 1 includes the following steps:

[0052] Step 101. Establish a logic library according to medical guidance information and big data information; wherein, the logic library is the degree of correlation between conventional factors and reference data.

[0053] Specifically, according to medical guidance information and big data information, a routine factor database is established, and reference data corresponding to the routine factors are obtained, and the relationship between the routine factors and the reference data is established according to the correlation degree relationship between the reference data and the corresponding routine factors. logic library.

[0054] Further, the correlation degree between the conventional factor and the reference data is divided into: direct correlation and indirect correlation, the direct correlation includes: direct primary correlation, direct s...

Embodiment 2

[0073] Such as figure 2 As shown, the method for correcting user data provided in Embodiment 2 includes the following steps:

[0074] Step 201. Establish a logic library according to medical guidance information and big data information; wherein, the logic library is the degree of correlation between conventional factors and reference data.

[0075] Specifically, according to medical guidance information and big data information, a routine factor database is established, and reference data corresponding to the routine factors are obtained, and the relationship between the routine factors and the reference data is established according to the correlation degree relationship between the reference data and the corresponding routine factors. logic library.

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Abstract

The invention discloses a user data correcting method. The user data correcting method includes the steps that a logic library is set up according to medical guidance information and big data information; personal information data is brought into the logic library, and when not matched with reference data of the logic library, the personal information data is false data; the false data is calculated according to effective data in personal information, and the optimal possibility result of the false data is obtained in combination of the logic library; missing data of the personal information is deduced according to the effective data of the personal information, and the optimal possibility result of the missing data is obtained in combination with the logic library; when meeting the relevancy requirement, the optimal possibility results are marked as deduction data; a client is reminded to complete the deduction data. By means of the user data correcting method, false data checking and correcting accuracy and missing data filing accuracy are improved, and the validity of the user data is ensured.

Description

technical field [0001] The present invention relates to the technical field of data processing, and more specifically, to a method for correcting user data. Background technique [0002] With the development of society and economy, people's dietary structure and living habits have changed, resulting in a linear increase in the incidence of obesity, hypertension, diabetes and other diseases. Therefore, the effective prevention of diseases has become the most concerned issue of all walks of life. [0003] According to the research report of the World Health Organization, 1 / 3 of human diseases can be avoided through preventive health care, 1 / 3 of diseases can be effectively controlled by early detection, and 1 / 3 of diseases can be improved through effective communication. For diseases, treatment is not the only way. Effective prevention and control of diseases and improvement of the efficiency of disease treatment through health management are the foundation of human health. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/245G16H10/60
CPCG06F16/245
Inventor 姜涵予
Owner 北斗云谷(北京)科技有限公司