ArticleEvidence-based complementary and alternative medicine : eCAM2022
Medication Regularity of Traditional Chinese Medicine in the Treatment of Aplastic Anemia Based on Data Mining.
Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Exosomes-loaded with traditional Chinese medicine constituents: a novel therapeutic avenue for aplastic anemia.Chinese medicine · 2026Review
- Modified Guilu Erxian Glue restores immune tolerance in aplastic anemia by reprogramming T cell differentiation via the miR-146a/STAT1/SOCS1 axis.Frontiers in immunology · 2026Article
- Heterogeneity in Health-Related Quality of Life of Patients with Aplastic Anemia: A Latent Profile Analysis.Patient preference and adherence · 2025Article
- Diagnostic Features and Prescription Rules of Influenza-Like Illnesses in Traditional Chinese Medicine: A Data Mining Approach.Journal of multidisciplinary healthcare · 2025Article
- Application of association rules and simulated annealing algorithms in optimizing traditional Chinese medicine placement schemes.BMC health services research · 2024Article
- Network pharmacology and experimental verification of the potential mechanism of Er-Xian decoction in aplastic anemia.Scientific reports · 2023Article
- Integrated transcriptomic and metabolomic profiles reveal the protective mechanism of modified Danggui Buxue decoction on radiation-induced leukopenia in mice.Frontiers in pharmacology · 2023Article
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Abstract
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.
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