Eczema compound patents’ herbal combination rules research based on complex system entropy clustering: A review

The aim of this study is to investigate the herbal compound patents’ combination rules of eczema. Eczema herbal compound patents (oral drugs) from the past 29 years were collected, and a database was created. Complex system entropy clustering was used to analyze the prescription rule for eczema herb...

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Detalles Bibliográficos
Autores principales: Yang, Xujie, Pei, Xiaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
3800
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750682/
https://www.ncbi.nlm.nih.gov/pubmed/36626430
http://dx.doi.org/10.1097/MD.0000000000032005
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author Yang, Xujie
Pei, Xiaohua
author_facet Yang, Xujie
Pei, Xiaohua
author_sort Yang, Xujie
collection PubMed
description The aim of this study is to investigate the herbal compound patents’ combination rules of eczema. Eczema herbal compound patents (oral drugs) from the past 29 years were collected, and a database was created. Complex system entropy clustering was used to analyze the prescription rule for eczema herbal compound patents. In total, 1039 eczema herbal compound patents, including 398 Chinese herbs, were identified. Complex system entropy clustering acquired high-frequency herbs, herbal couples, and core associations. Eczema herbal compound patents are known for clearing dampness and heat, dispelling poison, evacuating wind, and invigorating and cooling blood. By using complex system entropy clustering, herbal correlation of eczema herbal compound patents can be effectively analyzed.
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spelling pubmed-97506822022-12-28 Eczema compound patents’ herbal combination rules research based on complex system entropy clustering: A review Yang, Xujie Pei, Xiaohua Medicine (Baltimore) 3800 The aim of this study is to investigate the herbal compound patents’ combination rules of eczema. Eczema herbal compound patents (oral drugs) from the past 29 years were collected, and a database was created. Complex system entropy clustering was used to analyze the prescription rule for eczema herbal compound patents. In total, 1039 eczema herbal compound patents, including 398 Chinese herbs, were identified. Complex system entropy clustering acquired high-frequency herbs, herbal couples, and core associations. Eczema herbal compound patents are known for clearing dampness and heat, dispelling poison, evacuating wind, and invigorating and cooling blood. By using complex system entropy clustering, herbal correlation of eczema herbal compound patents can be effectively analyzed. Lippincott Williams & Wilkins 2022-12-09 /pmc/articles/PMC9750682/ /pubmed/36626430 http://dx.doi.org/10.1097/MD.0000000000032005 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 3800
Yang, Xujie
Pei, Xiaohua
Eczema compound patents’ herbal combination rules research based on complex system entropy clustering: A review
title Eczema compound patents’ herbal combination rules research based on complex system entropy clustering: A review
title_full Eczema compound patents’ herbal combination rules research based on complex system entropy clustering: A review
title_fullStr Eczema compound patents’ herbal combination rules research based on complex system entropy clustering: A review
title_full_unstemmed Eczema compound patents’ herbal combination rules research based on complex system entropy clustering: A review
title_short Eczema compound patents’ herbal combination rules research based on complex system entropy clustering: A review
title_sort eczema compound patents’ herbal combination rules research based on complex system entropy clustering: a review
topic 3800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750682/
https://www.ncbi.nlm.nih.gov/pubmed/36626430
http://dx.doi.org/10.1097/MD.0000000000032005
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