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A physique recognition method based on feature selection and a classification model

A feature selection and classification model technology, applied in the field of pattern recognition, can solve the problems of large amounts of data and high cost of collecting questionnaire data, and achieve the effects of ensuring validity, improving diagnostic efficiency, and reducing diagnostic time

Pending Publication Date: 2019-06-21
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

The importance of 61 topics can be assessed by the method of feature selection, but the method of feature selection usually requires a large amount of data, and the cost of collecting questionnaire data is also very high

Method used

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  • A physique recognition method based on feature selection and a classification model
  • A physique recognition method based on feature selection and a classification model
  • A physique recognition method based on feature selection and a classification model

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Embodiment Construction

[0025] The specific implementation of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. It should be pointed out that the described embodiments are only a part of the embodiments of the present invention, not all the embodiments.

[0026] Such as figure 1 As shown, it is a general flowchart of a constitution recognition method based on feature selection and classification model of the present invention, which is mainly divided into the following steps:

[0027] S1. Randomly generate the answers to all the questions in the "Traditional Chinese Medicine Constitution Classification and Judgment Form";

[0028] Based on the "Traditional Chinese Medicine Constitution Classification and Judgment Table" provided according to all questions Q={q 1 ,...,q n}’s answer to calculate the user’s physique type, the physique type of any answer can be obtained through calculation, so the present invention proposes to...

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Abstract

The invention discloses a physique recognition method based on feature selection and a classification model. The physique recognition method comprises the steps: generating answers of all questions ina'traditional Chinese medicine physique classification and judgment table ' through a random number generation algorithm; Calculating a corresponding physique type under the current answer accordingto a judgment method and a judgment standard of the traditional Chinese medicine physique classification and judgment table; adopting a feature selection algorithm to select a representative part of questions from all the questions of the'traditional Chinese medicine constitution classification and judgment table '; Designing a classification model, and performing training by utilizing answers ofpart of questions and corresponding physique types to obtain a physique recognition model; According to the method, technologies such as a random number generation algorithm, a feature selection algorithm and a classification model are introduced, the diagnosis time is effectively shortened, the diagnosis efficiency is improved, the effectiveness of physique recognition is ensured, and certain market value and popularization value are achieved.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a constitution recognition method based on feature selection and classification models. Background technique [0002] Human body constitution is a combination of morphological structure, physiological function, psychological state and other aspects that are manifested on the basis of congenital inheritance and acquired. Professor Wang Qi divides the constitution into nine constitution types: peace constitution, qi-deficiency constitution, yang-deficiency constitution, yin-deficiency constitution, phlegm-dampness constitution, damp-heat constitution, blood stasis constitution, qi stagnation constitution, and special endowment constitution [Wang Qi. Classification of TCM constitution types and its basis for diagnosis and expression [J]. Journal of Beijing University of Traditional Chinese Medicine, 2005 (04): 1-8.], this constitution classification method was written in...

Claims

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Application Information

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IPC IPC(8): G06K9/62G16H20/90G16H50/70
Inventor 文贵华李杨辉
Owner SOUTH CHINA UNIV OF TECH
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