Medication Patterns of Traditional Chinese Medicine for Acute Mastitis Treatment: A Text Data Mining Approach on Sheng Ji Zong Lu
Pages 1101 - 1105
Abstract
Purpose: This study aims to analyze the characteristics and medication patterns for the treatment of mastitis in the book "Sheng Ji Zong Lu" using data mining techniques, with the goal of providing valuable references for clinical medication.
Methods: We collected and organized the formulas for treating mastitis from Sheng Ji Zong Lu for frequency statistical analysis, association rule analysis, and LLR clustering analysis. These analyses helped to identify the prevalent medication patterns used for treating mastitis.
Results: A total of 86 mastitis formulas and 141 Chinese medicinal herbs were gathered from the text. Among the frequently used medicines were rhubarb, peony, Chinese angelica, astragalus, and licorice. Common drug combinations included Fangfeng-Huangqin, Shengma-Huangqi, and Shengma-Dahuang, among others. The clustering analysis revealed nine core clustered formulas.
Conclusion: The treatment of mastitis in Sheng Ji Zong Lu primarily emphasizes clearing heat and cooling blood, activating blood circulation and dissolving stasis, as well as replenishing qi and nourishing blood. This study provides certain references and guidance for the clinical medication of mastitis in traditional Chinese medicine (TCM).
References
[1]
Liu Guanlong, Gu Wanli. Exploring the medication rule of Shengji General Record in treating epistaxis based on data mining technology [J]. Journal of Shaanxi University of Chinese Medicine, 2023, 46 (01): 60-65.
[2]
Han Xiaoxia, Li Qing, Cao Lipeng. A study on the clinical efficacy of external application of mirabilite and Ruyi Jinhuang San on breast carbuncle with qi stagnation and heat stagnation type [J]. Hebei Journal of Traditional Chinese Medicine, 2023, 38 (02): 43-46. 2023.02.014.
[3]
Gu Xiaoyan, Lin Zhaoling, Zhong Yue, Exploring the mechanism of action of saponin horn acupuncture in the treatment of breast carbuncle based on network pharmacology [J]. Modern Biomedical Progress, 2021, 21 (16): 3180-3186. pmb. 2021.16.037.
[4]
Wang Guoping, Guo Weichen, Wang Ruojun. IBMSPSModeler Data and Text mining Zhan [M]. Beijing: Tsinghua University Press, 2014: 4.
[5]
Xiong Xingfu. Research Progress on Pharmacology of the Main Active Ingredient of Rhubarb [J]. Clinical Research of Traditional Chinese Medicine, 2014, 6 (10): 143-146.
[6]
Zheng Xiaoli, Hu Xiaobo, Zheng Zhichang, Determination of Radix Angelicae Pubescens, Rhizoma Chuanxiong and Paeoniflorin in Compound Chihong Granules [J]. Journal of Guizhou Medical University, 2023, 48 (06): 682-687.
[7]
Wan Xing, Li Xiangguo, Li Xiuxian, Beta sitosterol inhibits TNF by- α- NF- κ B and T β R1 Smad2/3 signaling pathway inhibits liver fibrosis damage in mice [J]. Chinese Pharmacological Bulletin, 2020, 36 (01): 75-80.
[8]
Sun Yucheng, Liu Xiaowei, Pian Guangzhe β- The effect and mechanism of sitosterol-induced autophagy and apoptosis in human gastric cancer cells [J]. Chinese Journal of Physicians, 2019, 21 (06): 866-871.
[9]
Wang Shuai, Sun Yu, Li Chunmei, Overview of research progress on stigmasterol [J]. China Pharmaceutical, 2019, 28 (23): 96-98.
[10]
Le Zhiqing Effects of Danggui Buxue Decoction, Astragalus and Angelica extract on blood lipid and plaque in Atherosclerosis rats [D]. Guangzhou University of Chinese Medicine, 2009.
[11]
Xiao Xian, Li Chunyan, Liu Xiaolong, etc. Research progress on the main chemical constituents and pharmacological effects of liquorice [J]. Journal of Xinxiang Medical University, 2023, 40 (03): 280-285.
Index Terms
- Medication Patterns of Traditional Chinese Medicine for Acute Mastitis Treatment: A Text Data Mining Approach on Sheng Ji Zong Lu
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Published In
October 2023
1394 pages
ISBN:9798400708138
DOI:10.1145/3644116
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 05 April 2024
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ISAIMS 2023
ISAIMS 2023: 2023 4th International Symposium on Artificial Intelligence for Medicine Science
October 20 - 22, 2023
Chengdu, China
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Overall Acceptance Rate 53 of 112 submissions, 47%
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