基于数据挖掘的促进创面愈合中医用药规律分析

TCM Medication Rules Analysis for Promoting Wound Healing Based on Data Mining

摘要: 目的：基于数据挖掘分析出中医临床治疗创面的用药规律。方法：运用数据库技术对700余篇中医药创面愈合的相关文献进行整理，建立中医药促进创面愈合的数据库。通过对单味药物、药对及药物关联分析并归纳，提炼出中医临床促进创面愈合的主要用药规律。结果：全部文献包含方剂643个，共涉及中药234味，其中药物频次使用最高的为黄柏，其用药频率占54.43%。药物使用频次大于纳入方剂数15%的有15种。在聚类分析中共得到6个聚类方，分别适用于创面早期清热解毒以及中晚期活血化瘀及补气。结论：临床上主要运用清热解毒、活血化瘀、益气补血这三类中药辨证进行促进创面愈合的治疗。

Abstract: Objective: To analyze TCM medication rules of promoting wound healing based on data mining. Methods: Use database technology to collate more than 700 articles related to wound healing us-ing TCM treatment, and establish a TCM database of promoting wound healing. Through the analysis and induction of single herb, herb pair and herb association, the medication rules of TCM clinical promoting wound healing were extracted. Results: All the literatures contained 643 prescriptions and 234 herbs. The highest herb frequency was golden cypress (54.43%). There were 15 kinds of herbs frequency greater than 15% of the number of prescriptions included. In the cluster analysis, 6 clustering prescriptions were obtained, which were suitable for clearing heat and detoxification at the early stage of wound surface, promoting blood circulation and removing blood stasis at the middle and replenishing qi respectively at the late stage. Conclusion: The treatment to promote wound healing mainly uses three kinds of herbs: clearing heat and detoxification, promoting blood circulation and removing blood stasis, and benefiting qi and enriching blood.