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A machine learning method to reduce the heterogeneity of subjective questionnaires in traditional Chinese medicine

A machine learning, inconsistency technology, applied in the field of machine learning, to achieve the effect of reducing inconsistency, reducing inconsistency, and eliminating subjective bias

Inactive Publication Date: 2017-08-25
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When doctors face this situation, they can only make subjective judgments based on their own experience, and currently there is no special technology to solve this problem

Method used

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  • A machine learning method to reduce the heterogeneity of subjective questionnaires in traditional Chinese medicine
  • A machine learning method to reduce the heterogeneity of subjective questionnaires in traditional Chinese medicine
  • A machine learning method to reduce the heterogeneity of subjective questionnaires in traditional Chinese medicine

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Experimental program
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Embodiment

[0039] In this embodiment, the present invention minimizes the inconsistency between questionnaires through a transformation acting on the existing questionnaire data. In order to articulate an efficient solution, the problem is first formally described. There is a questionnaire data set Q={Q 1 , Q 2 ,...,Q m}, where Q i is an n×1 vector, representing the score of the i-th questionnaire, then the goal of the present invention is to find a transformation Φ through machine learning methods, so that the contradiction function value C(Φ(Q)) defined on it is the smallest. In the present invention, only the consistency problem of the changed questionnaire scores is considered, that is, to reduce the inconsistency of changes between the two questionnaire scores before and after treatment, even if C(Φ(Q t+1 )-Φ(Q t )) is the smallest, considering the convenience of calculation, the goal is to maximize the correlation between the questionnaire scores after Φ transformation.

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Abstract

The invention is a machine learning method for reducing the inconsistency of the subjective questionnaire of traditional Chinese medicine. It includes the following steps: 1) Vectorize the subjective questionnaire data: the subjective questionnaire is composed of questions, weights and scores, and the vectorization transforms the structure of the questionnaire into a vector; 2) Define the consistency goal of the questionnaire group and express it; define the contradiction function C(x) is used to express the consistency between the questionnaire groups. The contradiction function uses the value obtained after a transformation of the scores of the questionnaire group as input. This process uses negative correlation as the contradiction function, which is in line with the statistical learning theory; 3) for The main subjective questionnaires NPQ, MPQ and SF-36 used in traditional Chinese medicine are analyzed for consistency. Among them, NPQ and MPQ each have a sub-questionnaire, and SF-36 has 8 sub-questionnaires. According to the contradiction function in step 2), the following consistency is defined Objective function: 4) Solve the objective function. The invention reduces the inconsistency among the results of different TCM treatment effect assessment questionnaires, and improves the accuracy of the assessment of TCM treatment effects.

Description

technical field [0001] The invention is a machine learning method for reducing the inconsistency of the subjective questionnaire of traditional Chinese medicine, which belongs to the transformation technology of the machine learning method for reducing the inconsistency of the subjective questionnaire of traditional Chinese medicine. Background technique [0002] Questionnaire survey is a means of data collection arising from social surveys. It is a survey method in which investigators use uniformly designed questionnaires to understand the situation or solicit opinions from selected survey objects. Questionnaire survey is a research method that collects data by asking questions in writing. Questionnaire survey is a research method of discovering the actual situation. The biggest purpose is to collect and accumulate basic information on various scientific education attributes of a certain target group. It should be considered whether the research goal can be successfully ac...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 张钢
Owner GUANGDONG UNIV OF TECH
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