摘要
目的研究《王仲奇医案》用药规律并进行关联性分析,为临床用药提供参考。方法以"咳血"、"虚劳"以及"湿温"医案为研究对象,通过分析医案信息结构以对医案原文进行数据预处理,构建《王仲奇医案》数据库;通过整合Apriori关联规则算法,设计并实现"新安中医临证指导系统",完成数据挖掘结果的可视化,提供"临床查询应用"功能以及用药规律的关联性分析。结果药物关联性分析结果显示治疗"咳血"的常用药物为丝瓜络、茜根以及牡丹皮等,其中核心药对为丝瓜络和茜根;治疗"虚劳"的常用药物为石斛、牡蛎及甘草等,其中核心药对为石斛和牡蛎;治疗"湿温"的常用药物为茯苓、佩兰及杏仁等,其中核心药对为茯苓、佩兰。结论关联规则分析可用于挖掘医案的用药规律,本技术框架可应用于其他医籍的研究。
Objective To investigate the medication rule in Wang Zhongqi's Medical Records and conduct association rule analysis and to provide reference for clinical medication. Methods Taking "hemoptysis", "consumptive disease", and "damp-warm syndrome" as the diseases for research, the information structure of medical records was analyzed to perform data preprocessing of the original text of medical records, so that the database of Wang Zhongqi's Medical Records was established. With the use of Apriori algorithm, the "Xin'an Traditional Chinese Medicine Clinical Guide System" was designed and created, so as to visualize the data mining results and provide the "application of clinical queries" and association rule analysis on medication rule. Results The association rule analysis showed that the common traditional Chinese medicines for treating hemoptysis were loofah sponge, Rubia cordifolia Radicis, Corte:r Moutan Radicis, and so on, with loofah sponge and Rubia cordifolia Radicis as the core medicines; the common traditional Chinese medicines for treating consumptive disease were Dendrobium, Concha Ostreae, Radix Glycyrrhizae, and so on, with Dendrohium and Concha Ostreae as the core medicines; the common traditional Chinese medicines for treating damp-warm syndrome were Poria cocos, Herba Eupatorii , Semen Arrneniacae Amarum , and so on, with Poria cocos and Herba Eupatorii as the core medicines. Conclusion Association rule analysis can be used for exploring the medication rule in medical records, and this technical framework can be used for research on other medical works.
出处
《安徽中医学院学报》
CAS
2013年第3期20-24,共5页
Journal of Anhui Traditional Chinese Medical College
基金
安徽省科技厅社会公益项目(2060302)
关键词
王仲奇医案
数据挖掘
频繁集
Apriori关联规则算法
新安中医临证指导系统
Wang Zhongqi's Medical Records
data mining
frequent itemset
Apriori algorithm
Xin'an Traditional Chinese Medicine Clinical Guide System