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Traditional Chinese medicine constitution optimized classification method based on improved CART decision-making tree and fuzzy naive Bayes combined model

A Bayesian model and combined model technology, applied in medical automation diagnosis, medical informatics, character and pattern recognition, etc., can solve the problems of single skin index attribute, insufficient comprehensiveness, and inability to quantitatively establish a classification model, and achieve a simplified algorithm. , High classification accuracy, reducing the effect of skin test indicators

Active Publication Date: 2016-09-21
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems that the existing physique classification algorithm only simply analyzes the correlation between skin and TCM physique, but cannot quantitatively establish a classification model, and the skin index attributes involved in conventional research are too single and not comprehensive enough. An optimal classification method for TCM constitution based on the combination model of improved CART decision tree and fuzzy naive Bayesian

Method used

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  • Traditional Chinese medicine constitution optimized classification method based on improved CART decision-making tree and fuzzy naive Bayes combined model
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  • Traditional Chinese medicine constitution optimized classification method based on improved CART decision-making tree and fuzzy naive Bayes combined model

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Embodiment 1

[0077] Step 1. Construction of human facial skin index system and key index extraction;

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Abstract

The invention discloses a traditional Chinese medicine constitution optimized classification method based on an improved CART decision-making tree and a fuzzy naive Bayes combined model, and belongs to the field of engineering technology mixing and merging traditional Chinese medicine constitution science and information science technology. According to the method, a multi-dimensional human body face skin index system is built; a quite highly related index set is screened out; and according to different contribution degrees of each index, the original attribute is remained in a focused way so that redundant attributes are removed. By aiming at the classification requirement of needing to consider the interpretability and the accuracy at the same time, the advantages of the good induction characteristic of the decision-making tree on the attributes and the inter-class relationship under the condition of few training samples and of highest accuracy of the naive Bayes classification under the condition of many training samples are brought into full play; the traditional Chinese medicine constitution optimized classification method can be used for quantificationally studying the potential relationship between the skin and the traditional Chinese medicine constitution, and provides a certain scientific basis, data and a method support for the health care, conditioning and treatment of the skin.

Description

technical field [0001] The invention relates to a TCM physique classification method based on human facial skin index information, and belongs to the engineering technical field of cross-integration of TCM physique science and information science and technology. Specifically, it is a classification method based on the improved CART (Classification And Regression Tree) decision tree and fuzzy naive Bayesian combination model. Skin test information for the purpose of quickly determining TCM constitution types. Background technique [0002] As the outermost layer of the human body and the largest tissue and organ, the skin covers all parts of the body. It is a barrier covering the body and plays the most basic protective role. TCM constitution is an important part of the basic theory of TCM, which mainly studies the correlation between human constitution and health. Chinese medicine believes that constitution is a comprehensive and relatively stable inherent characteristic in...

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Application Information

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IPC IPC(8): G06F19/00G06K9/62
CPCG16H50/20G06F18/24155G06F18/24323G06F18/254
Inventor 张慧妍王小艺王立李爽许继平于家斌董银卯孟宏
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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