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Medication Regularity of Traditional Chinese Medicine in the Treatment of Aplastic Anemia Based on Data Mining
OBJECTIVE: Aplastic anemia (AA) is an uncommon disease, characterized by pancytopenia and hypocellular bone marrow, but it is common in the blood system. The medication rules of traditional Chinese medicine (TCM) in the treatment of AA are not clear, for which it is worth exploring the medication ru...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436587/ https://www.ncbi.nlm.nih.gov/pubmed/36062179 http://dx.doi.org/10.1155/2022/1605359 |
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author | Dong, Nanxi Zhang, Xujie Wu, Dijiong Hu, Zhiping Liu, Wenbin Deng, Shu Ye, Baodong |
author_facet | Dong, Nanxi Zhang, Xujie Wu, Dijiong Hu, Zhiping Liu, Wenbin Deng, Shu Ye, Baodong |
author_sort | Dong, Nanxi |
collection | PubMed |
description | OBJECTIVE: Aplastic anemia (AA) is an uncommon disease, characterized by pancytopenia and hypocellular bone marrow, but it is common in the blood system. The medication rules of traditional Chinese medicine (TCM) in the treatment of AA are not clear, for which it is worth exploring the medication rules by data mining methods. METHODS: This study used SPSS Modeler 18.0 and SPSS statistics to analyze the cases of AA from Zhejiang Provincial Hospital of Chinese Medicine (ZJHCM) from March 1, 2019, to March 1, 2022. Data mining methods, including frequency analysis, cluster analysis, and association rule learning, were performed in order to explore the medication rules for AA. RESULTS: (1) A total of 859 prescriptions, which met the inclusion criteria, consisted of 255 herbs. In descending order of the frequency of herbal medicine, we have Danggui, Huangqi, Shudihuang, Fuling, Gancao, Shanyao, Shanzhuyu, Baizhu, Dangshen, and Xianhecao. (2) Frequency analysis of herb properties: the Four Qi of 255 kinds of TCMs are mainly warm and neutral medicines. The Five Flavors are mainly sweet medicines, followed by bitter medicines. The main meridians are the liver, spleen, and kidney. (3) Clustering of medications: TCMs with the top 20 frequencies are classified into 9 groups by cluster analysis. (4) Association rule analysis of high-frequency herbs: using the Apriori algorithm, the results showed that there were 3 herb pairs with support of over 0.3 and 12 herb pairs with confidence above 0.85. CONCLUSION: The basic pathogenesis of AA (Sui Lao) is spleen and kidney essence deficiency, Qi deficiency, and blood stasis. The main herbs have warm and neutral properties, sweet tastes, and liver, spleen, and kidney meridian tropisms, whose purpose is to tonify the kidney and invigorate the spleen, tonify Qi, and promote blood circulation. |
format | Online Article Text |
id | pubmed-9436587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94365872022-09-02 Medication Regularity of Traditional Chinese Medicine in the Treatment of Aplastic Anemia Based on Data Mining Dong, Nanxi Zhang, Xujie Wu, Dijiong Hu, Zhiping Liu, Wenbin Deng, Shu Ye, Baodong Evid Based Complement Alternat Med Research Article OBJECTIVE: Aplastic anemia (AA) is an uncommon disease, characterized by pancytopenia and hypocellular bone marrow, but it is common in the blood system. The medication rules of traditional Chinese medicine (TCM) in the treatment of AA are not clear, for which it is worth exploring the medication rules by data mining methods. METHODS: This study used SPSS Modeler 18.0 and SPSS statistics to analyze the cases of AA from Zhejiang Provincial Hospital of Chinese Medicine (ZJHCM) from March 1, 2019, to March 1, 2022. Data mining methods, including frequency analysis, cluster analysis, and association rule learning, were performed in order to explore the medication rules for AA. RESULTS: (1) A total of 859 prescriptions, which met the inclusion criteria, consisted of 255 herbs. In descending order of the frequency of herbal medicine, we have Danggui, Huangqi, Shudihuang, Fuling, Gancao, Shanyao, Shanzhuyu, Baizhu, Dangshen, and Xianhecao. (2) Frequency analysis of herb properties: the Four Qi of 255 kinds of TCMs are mainly warm and neutral medicines. The Five Flavors are mainly sweet medicines, followed by bitter medicines. The main meridians are the liver, spleen, and kidney. (3) Clustering of medications: TCMs with the top 20 frequencies are classified into 9 groups by cluster analysis. (4) Association rule analysis of high-frequency herbs: using the Apriori algorithm, the results showed that there were 3 herb pairs with support of over 0.3 and 12 herb pairs with confidence above 0.85. CONCLUSION: The basic pathogenesis of AA (Sui Lao) is spleen and kidney essence deficiency, Qi deficiency, and blood stasis. The main herbs have warm and neutral properties, sweet tastes, and liver, spleen, and kidney meridian tropisms, whose purpose is to tonify the kidney and invigorate the spleen, tonify Qi, and promote blood circulation. Hindawi 2022-08-25 /pmc/articles/PMC9436587/ /pubmed/36062179 http://dx.doi.org/10.1155/2022/1605359 Text en Copyright © 2022 Nanxi Dong 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 | Research Article Dong, Nanxi Zhang, Xujie Wu, Dijiong Hu, Zhiping Liu, Wenbin Deng, Shu Ye, Baodong Medication Regularity of Traditional Chinese Medicine in the Treatment of Aplastic Anemia Based on Data Mining |
title | Medication Regularity of Traditional Chinese Medicine in the Treatment of Aplastic Anemia Based on Data Mining |
title_full | Medication Regularity of Traditional Chinese Medicine in the Treatment of Aplastic Anemia Based on Data Mining |
title_fullStr | Medication Regularity of Traditional Chinese Medicine in the Treatment of Aplastic Anemia Based on Data Mining |
title_full_unstemmed | Medication Regularity of Traditional Chinese Medicine in the Treatment of Aplastic Anemia Based on Data Mining |
title_short | Medication Regularity of Traditional Chinese Medicine in the Treatment of Aplastic Anemia Based on Data Mining |
title_sort | medication regularity of traditional chinese medicine in the treatment of aplastic anemia based on data mining |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436587/ https://www.ncbi.nlm.nih.gov/pubmed/36062179 http://dx.doi.org/10.1155/2022/1605359 |
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