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A Data Mining-Based Analysis of Medication Rules in Treating Bone Marrow Suppression by Kidney-Tonifying Method
OBJECTIVE: To investigate the rule of kidney-tonifying method in Chinese medicine for the treatment of bone marrow suppression (BMS), in order to provide evidence and references for the clinical application of herbs and formulae. DESIGN: Collecting and sorting the information about the treatment of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378015/ https://www.ncbi.nlm.nih.gov/pubmed/30854004 http://dx.doi.org/10.1155/2019/1907848 |
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author | You, Xing Xu, Yinkun Huang, Jin Zhi, Yaofeng Wu, Fengzhen Ding, Fuping Liang, Jiaying Cui, Zhihui Xu, Jingyan Zhang, Jin |
author_facet | You, Xing Xu, Yinkun Huang, Jin Zhi, Yaofeng Wu, Fengzhen Ding, Fuping Liang, Jiaying Cui, Zhihui Xu, Jingyan Zhang, Jin |
author_sort | You, Xing |
collection | PubMed |
description | OBJECTIVE: To investigate the rule of kidney-tonifying method in Chinese medicine for the treatment of bone marrow suppression (BMS), in order to provide evidence and references for the clinical application of herbs and formulae. DESIGN: Collecting and sorting the information about the treatment of BMS related to kidney-tonifying (Bushen) method in Chinese medicine literatures on databases including Chinese National Knowledge Infrastructure (CNKI), and Chinese Biomedical Literature Database (CBM), establishing a database of BMS treating formulae after radiotherapy and chemotherapy with traditional Chinese medicine (TCM) kidney-tonifying method, and finally applying the relevant theories and techniques of data mining to analyze the medication rules of it. RESULTS: A total of 239 formulae and 202 herbs were included in this database, in which the herbs occurred 2,602 times in general. The high frequency herbs included Astragali Radix (Huangqi), Atractylodis Macrocephalae Rhizoma (Baizhu), and Ligustri Lucidi Fructus (Nvzhenzi). The main herb categories were deficiency-tonifying herbs, blood-activating herbs, dampness-draining diuretic herbs, heat-clearing herbs, and digestant herbs. Deficiency-tonifying herbs accounted for 64.60% of the total number. A total of 8 clustering formulae are summarized according to cluster analysis and 26 herb suits association rules are identified by Apriori algorithm. CONCLUSION: The treatment of BMS is mainly based on the method of invigorating the spleen and tonifying the kidney and liver to strengthen healthy qi, supplementing with blood-activating herbs, and dampness-draining diuretic herbs to eliminate pathogenic factors. |
format | Online Article Text |
id | pubmed-6378015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-63780152019-03-10 A Data Mining-Based Analysis of Medication Rules in Treating Bone Marrow Suppression by Kidney-Tonifying Method You, Xing Xu, Yinkun Huang, Jin Zhi, Yaofeng Wu, Fengzhen Ding, Fuping Liang, Jiaying Cui, Zhihui Xu, Jingyan Zhang, Jin Evid Based Complement Alternat Med Review Article OBJECTIVE: To investigate the rule of kidney-tonifying method in Chinese medicine for the treatment of bone marrow suppression (BMS), in order to provide evidence and references for the clinical application of herbs and formulae. DESIGN: Collecting and sorting the information about the treatment of BMS related to kidney-tonifying (Bushen) method in Chinese medicine literatures on databases including Chinese National Knowledge Infrastructure (CNKI), and Chinese Biomedical Literature Database (CBM), establishing a database of BMS treating formulae after radiotherapy and chemotherapy with traditional Chinese medicine (TCM) kidney-tonifying method, and finally applying the relevant theories and techniques of data mining to analyze the medication rules of it. RESULTS: A total of 239 formulae and 202 herbs were included in this database, in which the herbs occurred 2,602 times in general. The high frequency herbs included Astragali Radix (Huangqi), Atractylodis Macrocephalae Rhizoma (Baizhu), and Ligustri Lucidi Fructus (Nvzhenzi). The main herb categories were deficiency-tonifying herbs, blood-activating herbs, dampness-draining diuretic herbs, heat-clearing herbs, and digestant herbs. Deficiency-tonifying herbs accounted for 64.60% of the total number. A total of 8 clustering formulae are summarized according to cluster analysis and 26 herb suits association rules are identified by Apriori algorithm. CONCLUSION: The treatment of BMS is mainly based on the method of invigorating the spleen and tonifying the kidney and liver to strengthen healthy qi, supplementing with blood-activating herbs, and dampness-draining diuretic herbs to eliminate pathogenic factors. Hindawi 2019-02-03 /pmc/articles/PMC6378015/ /pubmed/30854004 http://dx.doi.org/10.1155/2019/1907848 Text en Copyright © 2019 Xing You et al. https://creativecommons.org/licenses/by/4.0/ 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 | Review Article You, Xing Xu, Yinkun Huang, Jin Zhi, Yaofeng Wu, Fengzhen Ding, Fuping Liang, Jiaying Cui, Zhihui Xu, Jingyan Zhang, Jin A Data Mining-Based Analysis of Medication Rules in Treating Bone Marrow Suppression by Kidney-Tonifying Method |
title | A Data Mining-Based Analysis of Medication Rules in Treating Bone Marrow Suppression by Kidney-Tonifying Method |
title_full | A Data Mining-Based Analysis of Medication Rules in Treating Bone Marrow Suppression by Kidney-Tonifying Method |
title_fullStr | A Data Mining-Based Analysis of Medication Rules in Treating Bone Marrow Suppression by Kidney-Tonifying Method |
title_full_unstemmed | A Data Mining-Based Analysis of Medication Rules in Treating Bone Marrow Suppression by Kidney-Tonifying Method |
title_short | A Data Mining-Based Analysis of Medication Rules in Treating Bone Marrow Suppression by Kidney-Tonifying Method |
title_sort | data mining-based analysis of medication rules in treating bone marrow suppression by kidney-tonifying method |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378015/ https://www.ncbi.nlm.nih.gov/pubmed/30854004 http://dx.doi.org/10.1155/2019/1907848 |
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