The Experts below are selected from a list of 243 Experts worldwide ranked by ideXlab platform
Byoungkab Kang - One of the best experts on this subject based on the ideXlab platform.
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a study of tongue and pulse diagnosis in traditional korean medicine for stroke patients based on Quantification Theory type ii
Evidence-based Complementary and Alternative Medicine, 2013Co-Authors: Mi Mi Ko, Taeyong Park, Byoungkab KangAbstract:In traditional Korean medicine (TKM), pattern identification (PI) diagnosis is important for treating diseases. The aim of this study was to comprehensively investigate the relationship between the PI type and tongue diagnosis or pulse diagnosis variables. The study included 1,879 stroke patients who were admitted to 12 oriental medical university hospitals from June 2006 through March 2009. The status of the pulse and tongue was examined in each patient. Additionally, to investigate relatively important indicators related to specialist PI, the Quantification Theory type II analysis was performed regarding the PI type. In the first axis Quantification of the external criteria, the Qi-deficiency and the Yin-deficiency patterns were located in the negative direction, while the dampness-phlegm (DP) and fire-heat patterns were located in the positive direction. The explanatory variable with the greatest impact on the assessment was a fine pulse. In the second axis Quantification, the external criteria were divided into either the DP or non-DP patterns. The slippery pulse exhibited the greatest effect on the division. This study attempted to build a model using a statistical method to objectively quantify PI and various indicators that constitute the unique diagnosis system of TKM. These results should assist the development of future diagnostic standards in stroke PI.
Mi Mi Ko - One of the best experts on this subject based on the ideXlab platform.
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a study of tongue and pulse diagnosis in traditional korean medicine for stroke patients based on Quantification Theory type ii
Evidence-based Complementary and Alternative Medicine, 2013Co-Authors: Mi Mi Ko, Taeyong Park, Byoungkab KangAbstract:In traditional Korean medicine (TKM), pattern identification (PI) diagnosis is important for treating diseases. The aim of this study was to comprehensively investigate the relationship between the PI type and tongue diagnosis or pulse diagnosis variables. The study included 1,879 stroke patients who were admitted to 12 oriental medical university hospitals from June 2006 through March 2009. The status of the pulse and tongue was examined in each patient. Additionally, to investigate relatively important indicators related to specialist PI, the Quantification Theory type II analysis was performed regarding the PI type. In the first axis Quantification of the external criteria, the Qi-deficiency and the Yin-deficiency patterns were located in the negative direction, while the dampness-phlegm (DP) and fire-heat patterns were located in the positive direction. The explanatory variable with the greatest impact on the assessment was a fine pulse. In the second axis Quantification, the external criteria were divided into either the DP or non-DP patterns. The slippery pulse exhibited the greatest effect on the division. This study attempted to build a model using a statistical method to objectively quantify PI and various indicators that constitute the unique diagnosis system of TKM. These results should assist the development of future diagnostic standards in stroke PI.
Taeyong Park - One of the best experts on this subject based on the ideXlab platform.
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a study of tongue and pulse diagnosis in traditional korean medicine for stroke patients based on Quantification Theory type ii
Evidence-based Complementary and Alternative Medicine, 2013Co-Authors: Mi Mi Ko, Taeyong Park, Byoungkab KangAbstract:In traditional Korean medicine (TKM), pattern identification (PI) diagnosis is important for treating diseases. The aim of this study was to comprehensively investigate the relationship between the PI type and tongue diagnosis or pulse diagnosis variables. The study included 1,879 stroke patients who were admitted to 12 oriental medical university hospitals from June 2006 through March 2009. The status of the pulse and tongue was examined in each patient. Additionally, to investigate relatively important indicators related to specialist PI, the Quantification Theory type II analysis was performed regarding the PI type. In the first axis Quantification of the external criteria, the Qi-deficiency and the Yin-deficiency patterns were located in the negative direction, while the dampness-phlegm (DP) and fire-heat patterns were located in the positive direction. The explanatory variable with the greatest impact on the assessment was a fine pulse. In the second axis Quantification, the external criteria were divided into either the DP or non-DP patterns. The slippery pulse exhibited the greatest effect on the division. This study attempted to build a model using a statistical method to objectively quantify PI and various indicators that constitute the unique diagnosis system of TKM. These results should assist the development of future diagnostic standards in stroke PI.
Shizuhiko Nishisato - One of the best experts on this subject based on the ideXlab platform.
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From Joint Graphical Display to Bi-Modal Clustering: [1] A Giant Leap in Quantification Theory
Studies in Classification Data Analysis and Knowledge Organization, 2020Co-Authors: Shizuhiko NishisatoAbstract:Joint graphical display is popular in correspondence analysis as a tool to illustrate the results of Quantification analysis, known by many names such as dual scaling, correspondence analysis, homogeneity analysis, and optimal scaling. Most methods of joint graphical display, however, are at best rough approximations to the analytical results. The present study starts with an extensive historical overview of joint graphical display as opposed to algebraic analysis without graphs to identify some perennial problems surrounding graphical display in Quantification Theory. This review leads to the conclusion that a better alternative to joint graphical display may be a special form of cluster analysis, called bi-modal clustering, defined later. The current study, therefore, marks the beginning of replacing the long-standing graphical approach with cluster analysis. This transition also implies a giant leap in Quantification Theory from the traditional heavily weighted within-set analysis to between-set analysis. Recently, some studies have been carried out in the new direction, and this paper is devoted to the historical background for this new approach. Some controversial views will be presented here, but it is hoped that the paper will lay a foundation for the future direction of Quantification Theory. The paper by Clavel and Nishisato, which accompanies this paper, will show some preliminary numerical results with the hope that future problems of this new horizon will be identified.
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Quantification Theory: Categories, Variables and Modal Analysis
Advanced Studies in Behaviormetrics and Data Science, 2020Co-Authors: Shizuhiko NishisatoAbstract:Quantification Theory (QT) is known by many names such as dual scaling, Hayashi’s Quantification Theory, optimal scaling, homogeneity analysis and correspondence analysis. It is in essence singular value decomposition of categorical data. As Torgerson [29] called QT as principal component analysis (PCA) of categorical data, one may get some ideas about what QT is. The fact that there are so many aliases is interesting and suggests its versatility. Some names reflect certain mathematical aspects and the others quite different characteristics. No matter what aliases one may adopt, it is certain that QT has many hidden characteristics. As we glance at its general developments, we cannot help but wonder why there are still so many problems associated with QT unsolved. The current paper is an essay with its focus on QT’s very basic foundation problems, which have somehow escaped enough attention of researchers. Following Torgerson’s naming of QT as PCA of categorical data, we first look at the most fundamental difference between PCA and QT, and then move on to look at some aspects peculiar to QT. We will conclude the paper with some warnings on the characteristics of input data for QT, to avoid the situation of garbage in garbage out.
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GfKl - Quantification Theory: Reminiscence and a Step Forward
Challenges at the Interface of Data Analysis Computer Science and Optimization, 2012Co-Authors: Shizuhiko NishisatoAbstract:After a sketch of topics in my life-long work on Quantification Theory, two robust clustering procedures are proposed to compliment a newly developed scaling procedure, called total information analysis (TIA), with numerical examples.
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Quantification Theory reminiscence and a step forward
GfKl, 2012Co-Authors: Shizuhiko NishisatoAbstract:After a sketch of topics in my life-long work on Quantification Theory, two robust clustering procedures are proposed to compliment a newly developed scaling procedure, called total information analysis (TIA), with numerical examples.
Naoki Nakano - One of the best experts on this subject based on the ideXlab platform.
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research on safety evaluation of water pipeline system using Quantification Theory
Environmental Systems Research, 2007Co-Authors: Akira Koizumi, Yasuhiro Arai, Toyono Inakazu, Masaaki Shingai, Naoki NakanoAbstract:本研究では, 水道管路の安全性を簡易に診断する手法として数量化理論第H類及び第I類を用い, 事故リスク評価モデル及び漏水リスク評価モデルを提案した. 前者の外的基準 (目的変数) は配水管修理件数の有無であり, 後者は漏水量の多少とした. また, モデルの説明変数として, 管路材質の差異, 外面被覆の有無, 地形分類といった要因を検討した. そして, 異なる2つの診断結果をどのように管路更新計画に活用すれば良いのかについて, 具体的な適用事例を示しながら論じた. この結果, 事故リスクに関して同一の診断結果であっても, 漏水リスクを考慮することで, 優先的に対処すべき箇所の決定を可能にする等, 更新計画を立案する上での有用性が明らかになった.
