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Complex network model of the Treatise on Cold Damage Disorders
Investigating the underlying principles of the Treatise on Cold Damage Disorder is meaningful and interesting. In this study, we investigated the symptoms, herbal formulae, herbal drugs, and their relationships in this treatise based on a multi-subnet composited complex network model (MCCN). Syndrom...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126833/ https://www.ncbi.nlm.nih.gov/pubmed/32288101 http://dx.doi.org/10.1016/j.physa.2016.03.115 |
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author | Shao, Feng-jing Sui, Yi Zhou, Yong-hong Sun, Ren-cheng |
author_facet | Shao, Feng-jing Sui, Yi Zhou, Yong-hong Sun, Ren-cheng |
author_sort | Shao, Feng-jing |
collection | PubMed |
description | Investigating the underlying principles of the Treatise on Cold Damage Disorder is meaningful and interesting. In this study, we investigated the symptoms, herbal formulae, herbal drugs, and their relationships in this treatise based on a multi-subnet composited complex network model (MCCN). Syndrome subnets were constructed for the symptoms and a formula subnet for herbal drugs. By subnet compounding using MCCN, a composited network was obtained that described the treatment relationships between syndromes and formulae. The results obtained by topological analysis suggested some prescription laws that could be validated in clinics. After subnet reduction using the MCCN, six channel (Tai-yang, Yang-ming, Shao-yang, Tai-yin, Shao-yin, and Jue-yin) subnets were obtained. By analyzing the strengths of the relationships among these six channel subnets, we found that the Tai-yang channel and Yang-ming channel were related most strongly with each other, and we found symptoms that implied pathogen movements and transformations among the six channels. This study could help therapists to obtain a deeper understanding of this ancient treatise. |
format | Online Article Text |
id | pubmed-7126833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71268332020-04-08 Complex network model of the Treatise on Cold Damage Disorders Shao, Feng-jing Sui, Yi Zhou, Yong-hong Sun, Ren-cheng Physica A Article Investigating the underlying principles of the Treatise on Cold Damage Disorder is meaningful and interesting. In this study, we investigated the symptoms, herbal formulae, herbal drugs, and their relationships in this treatise based on a multi-subnet composited complex network model (MCCN). Syndrome subnets were constructed for the symptoms and a formula subnet for herbal drugs. By subnet compounding using MCCN, a composited network was obtained that described the treatment relationships between syndromes and formulae. The results obtained by topological analysis suggested some prescription laws that could be validated in clinics. After subnet reduction using the MCCN, six channel (Tai-yang, Yang-ming, Shao-yang, Tai-yin, Shao-yin, and Jue-yin) subnets were obtained. By analyzing the strengths of the relationships among these six channel subnets, we found that the Tai-yang channel and Yang-ming channel were related most strongly with each other, and we found symptoms that implied pathogen movements and transformations among the six channels. This study could help therapists to obtain a deeper understanding of this ancient treatise. Elsevier B.V. 2016-10-15 2016-04-08 /pmc/articles/PMC7126833/ /pubmed/32288101 http://dx.doi.org/10.1016/j.physa.2016.03.115 Text en © 2016 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Shao, Feng-jing Sui, Yi Zhou, Yong-hong Sun, Ren-cheng Complex network model of the Treatise on Cold Damage Disorders |
title | Complex network model of the Treatise on Cold Damage Disorders |
title_full | Complex network model of the Treatise on Cold Damage Disorders |
title_fullStr | Complex network model of the Treatise on Cold Damage Disorders |
title_full_unstemmed | Complex network model of the Treatise on Cold Damage Disorders |
title_short | Complex network model of the Treatise on Cold Damage Disorders |
title_sort | complex network model of the treatise on cold damage disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126833/ https://www.ncbi.nlm.nih.gov/pubmed/32288101 http://dx.doi.org/10.1016/j.physa.2016.03.115 |
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