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基于灰色关联分析法的阳虚质影响因子分析

罗悦 蒋璐霞 杨生文 苏必良 欧金涛 温川飙

数字中医药(英文)2023,Vol.6Issue(2):151-159,9.
数字中医药(英文)2023,Vol.6Issue(2):151-159,9.DOI:10.1016/j.dcmed.2023.07.005

基于灰色关联分析法的阳虚质影响因子分析

Grey correlation analysis on influencing factors of Yang deficiency constitution

罗悦 1蒋璐霞 1杨生文 2苏必良 3欧金涛 4温川飙1

作者信息

  • 1. 成都中医药大学智能医学学院,四川 成都611137,中国
  • 2. 四川省成都市金牛区西安路社区卫生服务中心中医科,四川 成都 610032,中国||四川省成都市金牛区中医医院骨科,四川 成都 610083,中国
  • 3. 四川省成都市金牛区西安路社区卫生服务中心中医科,四川 成都 610032,中国||四川省成都市金牛区天回社区卫生服务中心康复科,四川 成都 610083,中国
  • 4. 四川省仪陇县中医医院中医内科,四川 南充 637676,中国
  • 折叠

摘要

Abstract

Objective To explore the influencing factors of Yang deficiency constitution in traditional Chinese medicine(TCM)from the perspective of mathematics with the use of calculation for-mulas,so as to protect patients from getting diseases caused by Yang deficiency constitution and provide suggestions for TCM disease prevention.Methods Based on the classification and determination criteria of TCM constitution imple-mented by China Association of Chinese Medicine,data for 24 solar terms from May 5,2020(Start of Summer)to April 20,2021(Grain Rain)for the identification of Yang deficiency were collected by mobile constitution identification system.The grey correlation analysis method was used to determine the grey correlation degree of the factors influencing Yang deficiency constitution.In addition,a random forest model was constructed for the verification of the results from the grey correlation analysis,and for the evaluation of correlation degree between Yang deficiency constitution and its influencing factors.Results A total of 16 259 sets of data were collected from healthy or sub-healthy individuals aged from 18 to 60 years living in the central and northeastern parts of Sichuan Province(China)for the identification of TCM constitutions.After screening and preprocessing,a total of 544 sets of data for the identification of Yang deficiency constitution,involving 18 aspects of factors influencing Yang deficiency constitution.The results of the grey correlation analysis showed that there were 12 influencing factors whose grey correlation degree with Yang defi-ciency constitution was greater than 0.6.The accuracy of these 12 influencing factors with the training set and validation set of the Yang deficiency constitution random forest model were 98.39%and 93.12%,respectively.Conclusion In the sample data selected in this paper,grey correlation analysis is the appro-priate technology to analyze the influencing factors of Yang deficiency constitution.It provides a new idea and a new methodological reference for the research and analysis of the influencing factors of TCM constitution.

关键词

阳虚质/灰色关联/影响因子/随机森林/模型

Key words

Yang deficiency constitution/Grey correlation/Influencing factor/Random forest/Model

引用本文复制引用

罗悦,蒋璐霞,杨生文,苏必良,欧金涛,温川飙..基于灰色关联分析法的阳虚质影响因子分析[J].数字中医药(英文),2023,6(2):151-159,9.

基金项目

National Natural Science Foundation(81904324 and 82174236),and Chengdu Science and Technology Bur-eau Project(2019-YF09-00185-SN). (81904324 and 82174236)

数字中医药(英文)

OACSCD

2096-479X

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