Machine learning method for reducing inconsistency between traditional Chinese medicine subjective questionnaires

Abstract

The invention discloses a machine learning method for reducing the inconsistency between traditional Chinese medicine subjective questionnaires. The machine learning method comprises the following steps that 1), subjective questionnaire data is vectorized, wherein a subjective questionnaire consists of questions, weight and point values, and the vectorization allows a structure of the questionnaire to be converted into a vector; 2), a consistency target of questionnaire groups is defined and expressed; a contradiction function C(x) is defined to express the consistency between the questionnaire groups; the contradiction function takes a value obtained by converting a point value of the questionnaire group as an input, wherein negative correlation serves as the contradiction function in the process, and accords with a statistical learning theory; 3), main subjective questionnaires such as an NPQ (Nonverbal Personality Questionnaire), an MPQ (Mcgill Pain Questionnaire) and an SF-36 (Short Form-36) used by traditional Chinese medicine are subjected to consistency analysis, wherein each of the NPQ and the MPQ has a sub-questionnaire, and the SF-36 has eight sub-questionnaires; the following objective function of the consistency is defined according to the contradiction function in Step 2); and 4), the objective function is solved. The machine learning method reduces the inconsistency between results of different traditional Chinese medicine treatment effect evaluation questionnaires, and improves the accuracy of the evaluation on a traditional Chinese medicine treatment effect.

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...

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

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