Study on the rules of traditional Chinese medicine to promote wound healing based on data mining
10.12206/j.issn.1006-0111.202104099
- VernacularTitle:基于数据挖掘的中医药促进创面修复用药规律的研究
- Author:
Zhongwei LEI
1
;
Jie DU
2
;
Hongyi SUN
2
;
Qinwufeng GU
2
;
Bai LI
1
;
Yanlong YANG
2
Author Information
1. Department of Rehabilitation, The First Affiliated Hospital.
2. b. Department of Traditional Chinese Medicine, Naval Medical University, Shanghai 200433, China.
- Keywords:
data mining;
traditional Chinese medicine;
wound healing;
medication rule
- From:
Journal of Pharmaceutical Practice
2022;40(3):281-285
- CountryChina
- Language:Chinese
-
Abstract:
Objective To provide new ideas for promoting wound healing by digging and sorting out the medication rules in ancient classics and modern literatures. Methods The prescriptions for promoting wound healing recorded in literatures were collected to establish the database. The data mining technology was used for the analysis. Results 75 prescriptions and 203 traditional Chinese medicines were recorded in the ancient TCM literatures for promoting wound healing. The core medicines included frankincense, liquorice, angelica sinensis, angelica dahuricae, cortex phellodendri, myrrh, etc. They mainly belong to the class of clearing-heat drugs, promoting-circulation drugs, reinforcing drugs, relieving drugs, detoxification and tissue granulation drugs. Cluster analysis and association rule analysis were conducted for 16 core drugs. 4 cluster combinations ,15 groups of drug pairs and drug group association rules were obtained. Conclusion The prescription rules for wound healing mainly included clearing heat, promoting circulation, reinforcing, relieving, detoxification, and promoting tissue granulation. TCM wound treatment should be based on syndrome differentiation for fever, blood stasis, deficiency, anabrosis, exterior syndrome and poisoning.
