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Visual Agreement Analyses of Traditional Chinese Medicine: A Multiple-Dimensional Scaling Approach
The study of TCM agreement in terms of a powerful statistical tool becomes critical in providing objective evaluations. Several previous studies have conducted on the issue of consistency of TCM, and the results have indicated that agreements are low. Traditional agreement measures only provide a si...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3457697/ https://www.ncbi.nlm.nih.gov/pubmed/23024693 http://dx.doi.org/10.1155/2012/516473 |
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author | Lo, Lun-Chien Chiang, John Y. Cheng, Tsung-Lin Shieh, Pei-Shuan |
author_facet | Lo, Lun-Chien Chiang, John Y. Cheng, Tsung-Lin Shieh, Pei-Shuan |
author_sort | Lo, Lun-Chien |
collection | PubMed |
description | The study of TCM agreement in terms of a powerful statistical tool becomes critical in providing objective evaluations. Several previous studies have conducted on the issue of consistency of TCM, and the results have indicated that agreements are low. Traditional agreement measures only provide a single value which is not sufficient to justify if the agreement among several raters is strong or not. In light of this observation, a novel visual agreement analysis for TCM via multiple dimensional scaling (MDS) is proposed in this study. If there are clusters present in the raters in a latent manner, MDS can prove itself as an effective distinguisher. In this study, a group of doctors, consisting of 11 experienced TCM practitioners having clinical experience ranging from 3 to 15 years with a mean of 5.5 years from the Chinese Medicine Department at Changhua Christian Hospital (CCH) in Taiwan were asked to diagnose a total of fifteen tongue images, the Eight Principles derived from the TCM theorem. The results of statistical analysis show that, if there are clusters present in the raters in a latent manner, MDS can prove itself as an effective distinguisher. |
format | Online Article Text |
id | pubmed-3457697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-34576972012-09-28 Visual Agreement Analyses of Traditional Chinese Medicine: A Multiple-Dimensional Scaling Approach Lo, Lun-Chien Chiang, John Y. Cheng, Tsung-Lin Shieh, Pei-Shuan Evid Based Complement Alternat Med Research Article The study of TCM agreement in terms of a powerful statistical tool becomes critical in providing objective evaluations. Several previous studies have conducted on the issue of consistency of TCM, and the results have indicated that agreements are low. Traditional agreement measures only provide a single value which is not sufficient to justify if the agreement among several raters is strong or not. In light of this observation, a novel visual agreement analysis for TCM via multiple dimensional scaling (MDS) is proposed in this study. If there are clusters present in the raters in a latent manner, MDS can prove itself as an effective distinguisher. In this study, a group of doctors, consisting of 11 experienced TCM practitioners having clinical experience ranging from 3 to 15 years with a mean of 5.5 years from the Chinese Medicine Department at Changhua Christian Hospital (CCH) in Taiwan were asked to diagnose a total of fifteen tongue images, the Eight Principles derived from the TCM theorem. The results of statistical analysis show that, if there are clusters present in the raters in a latent manner, MDS can prove itself as an effective distinguisher. Hindawi Publishing Corporation 2012 2012-09-17 /pmc/articles/PMC3457697/ /pubmed/23024693 http://dx.doi.org/10.1155/2012/516473 Text en Copyright © 2012 Lun-Chien Lo et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lo, Lun-Chien Chiang, John Y. Cheng, Tsung-Lin Shieh, Pei-Shuan Visual Agreement Analyses of Traditional Chinese Medicine: A Multiple-Dimensional Scaling Approach |
title | Visual Agreement Analyses of Traditional Chinese Medicine: A Multiple-Dimensional Scaling Approach |
title_full | Visual Agreement Analyses of Traditional Chinese Medicine: A Multiple-Dimensional Scaling Approach |
title_fullStr | Visual Agreement Analyses of Traditional Chinese Medicine: A Multiple-Dimensional Scaling Approach |
title_full_unstemmed | Visual Agreement Analyses of Traditional Chinese Medicine: A Multiple-Dimensional Scaling Approach |
title_short | Visual Agreement Analyses of Traditional Chinese Medicine: A Multiple-Dimensional Scaling Approach |
title_sort | visual agreement analyses of traditional chinese medicine: a multiple-dimensional scaling approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3457697/ https://www.ncbi.nlm.nih.gov/pubmed/23024693 http://dx.doi.org/10.1155/2012/516473 |
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