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
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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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