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Application and Effect Comparison of PCA and PLSDA in TCM Constitution

Received: 15 November 2019    Accepted: 19 February 2020    Published: 16 March 2020
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Abstract

TCM constitution refers to the individual characteristics of the structure, function, and metabolism formed by the human body on the basis of innate endowments during the growth and development and aging of the day after tomorrow. In this study, 657 people from the community were randomly selected to complete the questionnaire of TCM constitution identification and score.Through the questionnaire, the scores of 9 different constitutions (yang-deficiency, yin-deficiency, qi-deficiency, phlegm-dampness, damp-heat, blood-stasis, characteristic, qi-stagnation and placid) were obtained, and the results of constitution classification were obtained.Then PCA and PLSDA were used to compare different TCM constitutions. PCA and PLSDA are commonly used dimensionality reduction tools, and are now mostly used in statistics, mathematics, and computer science. In this study, we will use PCA and PLSDA to compare different types of TCM constitutions, use PCA and PLSDA's dimensionality reduction ideas to combine different sample data, and to achieve normalized processing of data of different dimension units, so as to construct samples with better properties. Data to better classify different TCM constitutions. This study found that the physique of the peaceful population is very different from that of other constitutional populations. It also provides a scientific and reliable proof for the application of modern data to identify the constitution of traditional Chinese medicine.

Published in Asia-Pacific Journal of Computer Science and Technology (Volume 1, Issue 3)
Page(s) 28-33
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

PCA, PLSDA, TCM Constitution

References
[1] 杨靖,邢彤,李春禄.中医体质学说现代研究进展[J]. 长春中医学院学报,2000,16(4):601.
[2] 马晓慧.中医体质学说理论与方法研究进展[J].上海中医药杂志,2000(5).
[3] 王琦.中医体质学[M]. 中国医药科技出版社,1995.1.
[4] 何裕民,刘文龙.新编中医基础理论[M]. 北京医科大学中国协和医科大学联合出版社,1996.113.
[5] 匡调元.两纲八要辨体质新论[J]. 中医药学刊,2003.1(21).
[6] 赵蔷.主成分分析方法综述[J]. 软件工程,2016,19(6):1-3.
[7] 刘彬球,陈孝权,吴晓刚,等. PCA和PLS-DA用于晒青毛茶级别分类研究[J]. 茶叶科学,2015,35(02):179-184.
[8] 张威威,李瑞敏,谢中教. 基于PCA-GBDT的城市道路旅行时间预测方法[J]. 公路工程,2017,42(06):6-11.
[9] 杨天鸣,张璐,付海燕,等. 不同产地甘草的近红外指纹图谱模式识别鉴别方法[J]. 亚太传统医药,2015,11(14):11-14.
[10] 阮越,陈汉武,刘志昊,等. 量子主成分分析算法[J]. 计算机学报,2014,37(3):666-676.
[11] 陈佩. 主成分分析法研究及其在特征提取中的应用[D]. 陕西师范大学,2014.
[12] Alsberg B K, Kell D B, Goodacre R. Variable selection in discriminant partial least squares analysis. Analytical Chemistry, 1998, 70 (19): 4126-4133.
[13] Lutz U, Lutz W R, Lutz K W. Metabolic profiling of glucuronides in human urine by LC−MS/MS and partial least-squares discriminant analysis for classification and prediction of gender. Analytical Chemistry, 2006, 78 (13): 4564-4571.
[14] 王立平,邓芳明.基于小波包和GBDT的瓦斯传感器故障诊断[J].测控技术,2016,35(12):30—33.
[15] 郑凯文,杨超. 基于迭代决策树(GBDT)短期负荷预测研究[J]. 贵州电力技术,2017,20(02):82-84.
Cite This Article
  • APA Style

    Xie Fangrong, Zhou Xiaoyun, Han Liang, Shi Zhongfeng, Chen Guanhao, et al. (2020). Application and Effect Comparison of PCA and PLSDA in TCM Constitution. Asia-Pacific Journal of Computer Science and Technology, 1(3), 28-33.

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    ACS Style

    Xie Fangrong; Zhou Xiaoyun; Han Liang; Shi Zhongfeng; Chen Guanhao, et al. Application and Effect Comparison of PCA and PLSDA in TCM Constitution. Asia-Pac. J. Comput. Sci. Technol. 2020, 1(3), 28-33.

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    AMA Style

    Xie Fangrong, Zhou Xiaoyun, Han Liang, Shi Zhongfeng, Chen Guanhao, et al. Application and Effect Comparison of PCA and PLSDA in TCM Constitution. Asia-Pac J Comput Sci Technol. 2020;1(3):28-33.

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  • @article{10044880,
      author = {Xie Fangrong and Zhou Xiaoyun and Han Liang and Shi Zhongfeng and Chen Guanhao and Huang Haiquan and Cheng Qi and Chen Ziqiang and Hu Jinyuan and Song Yuhong and Xu Shu},
      title = {Application and Effect Comparison of PCA and PLSDA in TCM Constitution},
      journal = {Asia-Pacific Journal of Computer Science and Technology},
      volume = {1},
      number = {3},
      pages = {28-33},
      url = {https://www.sciencepublishinggroup.com/article/10044880},
      abstract = {TCM constitution refers to the individual characteristics of the structure, function, and metabolism formed by the human body on the basis of innate endowments during the growth and development and aging of the day after tomorrow. In this study, 657 people from the community were randomly selected to complete the questionnaire of TCM constitution identification and score.Through the questionnaire, the scores of 9 different constitutions (yang-deficiency, yin-deficiency, qi-deficiency, phlegm-dampness, damp-heat, blood-stasis, characteristic, qi-stagnation and placid) were obtained, and the results of constitution classification were obtained.Then PCA and PLSDA were used to compare different TCM constitutions. PCA and PLSDA are commonly used dimensionality reduction tools, and are now mostly used in statistics, mathematics, and computer science. In this study, we will use PCA and PLSDA to compare different types of TCM constitutions, use PCA and PLSDA's dimensionality reduction ideas to combine different sample data, and to achieve normalized processing of data of different dimension units, so as to construct samples with better properties. Data to better classify different TCM constitutions. This study found that the physique of the peaceful population is very different from that of other constitutional populations. It also provides a scientific and reliable proof for the application of modern data to identify the constitution of traditional Chinese medicine.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Application and Effect Comparison of PCA and PLSDA in TCM Constitution
    AU  - Xie Fangrong
    AU  - Zhou Xiaoyun
    AU  - Han Liang
    AU  - Shi Zhongfeng
    AU  - Chen Guanhao
    AU  - Huang Haiquan
    AU  - Cheng Qi
    AU  - Chen Ziqiang
    AU  - Hu Jinyuan
    AU  - Song Yuhong
    AU  - Xu Shu
    Y1  - 2020/03/16
    PY  - 2020
    T2  - Asia-Pacific Journal of Computer Science and Technology
    JF  - Asia-Pacific Journal of Computer Science and Technology
    JO  - Asia-Pacific Journal of Computer Science and Technology
    SP  - 28
    EP  - 33
    PB  - Science Publishing Group
    UR  - http://www.sciencepg.com/article/10044880
    AB  - TCM constitution refers to the individual characteristics of the structure, function, and metabolism formed by the human body on the basis of innate endowments during the growth and development and aging of the day after tomorrow. In this study, 657 people from the community were randomly selected to complete the questionnaire of TCM constitution identification and score.Through the questionnaire, the scores of 9 different constitutions (yang-deficiency, yin-deficiency, qi-deficiency, phlegm-dampness, damp-heat, blood-stasis, characteristic, qi-stagnation and placid) were obtained, and the results of constitution classification were obtained.Then PCA and PLSDA were used to compare different TCM constitutions. PCA and PLSDA are commonly used dimensionality reduction tools, and are now mostly used in statistics, mathematics, and computer science. In this study, we will use PCA and PLSDA to compare different types of TCM constitutions, use PCA and PLSDA's dimensionality reduction ideas to combine different sample data, and to achieve normalized processing of data of different dimension units, so as to construct samples with better properties. Data to better classify different TCM constitutions. This study found that the physique of the peaceful population is very different from that of other constitutional populations. It also provides a scientific and reliable proof for the application of modern data to identify the constitution of traditional Chinese medicine.
    VL  - 1
    IS  - 3
    ER  - 

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Author Information
  • First People's Hospital Affiliated to Guangzhou Medical University, Guangzhou, China

  • First People's Hospital Affiliated to Guangzhou Medical University, Guangzhou, China

  • Health departments,Guangdong Pharmaceutical University, Guangzhou, China

  • Health departments,Guangdong Pharmaceutical University, Guangzhou, China

  • Health departments,Guangdong Pharmaceutical University, Guangzhou, China

  • Guangdong Yisheng Information Technology Co., Ltd., Guangzhou, China

  • Guangdong Yisheng Information Technology Co., Ltd., Guangzhou, China

  • Guangdong Yisheng Information Technology Co., Ltd., Guangzhou, China

  • Guangdong Shengshijianwang Health Management Co., Ltd., Guangzhou, China

  • First People's Hospital Affiliated to Guangzhou Medical University, Guangzhou, China

  • Chinese Academy of Sciences University Shenzhen Hospital (Guangming), Shenzhen, China

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