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Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information

BACKGROUND: Sasang constitutional medicine (SCM) is a unique form of traditional Korean medicine that divides human beings into four constitutional types (Tae-Yang: TY, Tae-Eum: TE, So-Yang: SY, and So-Eum: SE), which differ in inherited characteristics, such as external appearance, personality trai...

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Autores principales: Do, Jun-Hyeong, Jang, Eunsu, Ku, Boncho, Jang, Jun-Su, Kim, Honggie, Kim, Jong Yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502327/
https://www.ncbi.nlm.nih.gov/pubmed/22762505
http://dx.doi.org/10.1186/1472-6882-12-85
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author Do, Jun-Hyeong
Jang, Eunsu
Ku, Boncho
Jang, Jun-Su
Kim, Honggie
Kim, Jong Yeol
author_facet Do, Jun-Hyeong
Jang, Eunsu
Ku, Boncho
Jang, Jun-Su
Kim, Honggie
Kim, Jong Yeol
author_sort Do, Jun-Hyeong
collection PubMed
description BACKGROUND: Sasang constitutional medicine (SCM) is a unique form of traditional Korean medicine that divides human beings into four constitutional types (Tae-Yang: TY, Tae-Eum: TE, So-Yang: SY, and So-Eum: SE), which differ in inherited characteristics, such as external appearance, personality traits, susceptibility to particular diseases, drug responses, and equilibrium among internal organ functions. According to SCM, herbs that belong to a certain constitution cannot be used in patients with other constitutions; otherwise, this practice may result in no effect or in an adverse effect. Thus, the diagnosis of SC type is the most crucial step in SCM practice. The diagnosis, however, tends to be subjective due to a lack of quantitative standards for SC diagnosis. METHODS: We have attempted to make the diagnosis method as objective as possible by basing it on an analysis of quantitative data from various Oriental medical clinics. Four individual diagnostic models were developed with multinomial logistic regression based on face, body shape, voice, and questionnaire responses. Inspired by SCM practitioners’ holistic diagnostic processes, an integrated diagnostic model was then proposed by combining the four individual models. RESULTS: The diagnostic accuracies in the test set, after the four individual models had been integrated into a single model, improved to 64.0% and 55.2% in the male and female patient groups, respectively. Using a cut-off value for the integrated SC score, such as 1.6, the accuracies increased by 14.7% in male patients and by 4.6% in female patients, which showed that a higher integrated SC score corresponded to a higher diagnostic accuracy. CONCLUSIONS: This study represents the first trial of integrating the objectification of SC diagnosis based on quantitative data and SCM practitioners’ holistic diagnostic processes. Although the diagnostic accuracy was not great, it is noted that the proposed diagnostic model represents common rules among practitioners who have various points of view. Our results are expected to contribute as a desirable research guide for objective diagnosis in traditional medicine, as well as to contribute to the precise diagnosis of SC types in an objective manner in clinical practice.
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spelling pubmed-35023272012-11-27 Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information Do, Jun-Hyeong Jang, Eunsu Ku, Boncho Jang, Jun-Su Kim, Honggie Kim, Jong Yeol BMC Complement Altern Med Research Article BACKGROUND: Sasang constitutional medicine (SCM) is a unique form of traditional Korean medicine that divides human beings into four constitutional types (Tae-Yang: TY, Tae-Eum: TE, So-Yang: SY, and So-Eum: SE), which differ in inherited characteristics, such as external appearance, personality traits, susceptibility to particular diseases, drug responses, and equilibrium among internal organ functions. According to SCM, herbs that belong to a certain constitution cannot be used in patients with other constitutions; otherwise, this practice may result in no effect or in an adverse effect. Thus, the diagnosis of SC type is the most crucial step in SCM practice. The diagnosis, however, tends to be subjective due to a lack of quantitative standards for SC diagnosis. METHODS: We have attempted to make the diagnosis method as objective as possible by basing it on an analysis of quantitative data from various Oriental medical clinics. Four individual diagnostic models were developed with multinomial logistic regression based on face, body shape, voice, and questionnaire responses. Inspired by SCM practitioners’ holistic diagnostic processes, an integrated diagnostic model was then proposed by combining the four individual models. RESULTS: The diagnostic accuracies in the test set, after the four individual models had been integrated into a single model, improved to 64.0% and 55.2% in the male and female patient groups, respectively. Using a cut-off value for the integrated SC score, such as 1.6, the accuracies increased by 14.7% in male patients and by 4.6% in female patients, which showed that a higher integrated SC score corresponded to a higher diagnostic accuracy. CONCLUSIONS: This study represents the first trial of integrating the objectification of SC diagnosis based on quantitative data and SCM practitioners’ holistic diagnostic processes. Although the diagnostic accuracy was not great, it is noted that the proposed diagnostic model represents common rules among practitioners who have various points of view. Our results are expected to contribute as a desirable research guide for objective diagnosis in traditional medicine, as well as to contribute to the precise diagnosis of SC types in an objective manner in clinical practice. BioMed Central 2012-07-04 /pmc/articles/PMC3502327/ /pubmed/22762505 http://dx.doi.org/10.1186/1472-6882-12-85 Text en Copyright ©2012 Do et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Do, Jun-Hyeong
Jang, Eunsu
Ku, Boncho
Jang, Jun-Su
Kim, Honggie
Kim, Jong Yeol
Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information
title Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information
title_full Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information
title_fullStr Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information
title_full_unstemmed Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information
title_short Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information
title_sort development of an integrated sasang constitution diagnosis method using face, body shape, voice, and questionnaire information
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502327/
https://www.ncbi.nlm.nih.gov/pubmed/22762505
http://dx.doi.org/10.1186/1472-6882-12-85
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