基于关联规则的妇科调经方用药规律研究

Study on the Medication Regularity with the Prescriptions of Gynecological Menstrual Regulation Based on Association Rules

目的:运用关联规则分析方法对广州医科大学附属第五医院妇科调经处方进行挖掘性研究,结合中医药理论探讨其用药配伍规律。方法:收集该院妇科月经不调处方500例,利用IBM SPSS Modeler14.1数据挖掘软件,运用关联规则分析方法中的Apriori算法对核心药物进行挖掘性研究。结果:治疗月经不调500张处方中,涉及中药共278味,使用频次为6500次;其中使用频次在15次以上的中药92味、频次5687次,经关联规则分析得到药物2项关联8条,3项关联35条,4项关联10条,5项关联3条。结论:运用数据挖掘的方法初步总结该院治疗月经不调的用药规律,结果与中医理论一致,对临床用药具有一定的指导意义。

Objective To explore the regularity of the prescriptions of regulating menstruation in the Fifth Affiliated Hospital of Guangzhou Medical University by using the method of association rule analysis, combining with the theory of traditional Chinese medicine. Methods 500 prescriptions of gynecological irregular menstruation in this hospital were collected, and the data mining software of IBM SPSS modeler 14. 1 was used to study the core drugs by using Apriori algorithm in association rules analysis. Results In the treatment of 500 prescriptions, the total number of Chinese herbs was 278, and the frequency of use was 6500 times. Among them, 92 Chinese herbs with frequency of more than 15 times and frequency of 5687 were used, Through the association rules analysis, we found that 8 pairs of herbs, 35 associatedrules for three herbs, 10 associated rules for four herbs, and 3 associated rules for five herbs. Conclusion Using the method of data mining to summarize the law of the treatment of irregular menstruation in this hospital, the results are consistent with the theory of traditional Chinese medicine, which has certain guiding significance to clinical medication.