Research on mediation rule of external treatment of ecthyma with traditional Chinese medicine based on data mining#br#
ZHANG Peng1 QU Jianhua2
1.Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China;
2.Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing 100010, China
Abstract：Objective To explore the medication rule of external treatment of ecthyma in traditional Chinese medicine. Methods The literatures in accordance with the external use of traditional Chinese medicine in the treatment of ecthyma were searched in CNKI, Wanfang, VIP and other databases from the establishment of the database to July, 2021. The herbs and their properties, tastes, and meridians were analyzed by frequency analysis, cluster analysis, and association rule analysis. Results In terms of herb efficacy, the frequencies of heat clearing herbs, blood activating, and stasis removing herbs, and deficiency tonifying herbs were the highest, which were 22.40%, 13.49% and 8.79%, respectively. In terms of herb taste, the proportion of spicy, sweet and bitter was the highest, which were 31.26%, 29.93% and 23.26%, respectively. In terms of herb distribution, cold, warm, and plain ranked among the top three, 56.42%, 25.68% and 17.90%, respectively. In terms of meridian distribution, heart, liver and spleen were the most critical, accounting for 21.03%, 20.63% and 17.34%, respectively. Cluster analysis was divided into three categories. Conclusion The external use of traditional Chinese medicine in the treatment of ecthyma starts with “dampness, heat, blood stasis and deficiency”, and pays attention to the treatment of clearing heat, promoting blood circulation, and removing blood stasis and tonifying deficiency. Most of the medicine tastes are spicy, sweet and bitter. Pay attention to the use of cold, warm and plain properties.
张鹏1 曲剑华2. 基于数据挖掘的臁疮中医外治法用药规律研究[J]. 中国医药导报, 2022, 19(21): 9-12.
ZHANG Peng1 QU Jianhua2. Research on mediation rule of external treatment of ecthyma with traditional Chinese medicine based on data mining#br#. 中国医药导报, 2022, 19(21): 9-12.
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