基于数据挖掘研究李旭成教授治疗慢性失眠的用药规律
Study of the Medication Rules of Professor Xucheng Li’s Treatment of Chronic Insomnia Based on Data Mining

目的：采用数据挖掘的方式研究李旭成教授治疗慢性失眠的用药规律。方法：收集2021年8月~2022年8月就诊的不寐患者391例，提取患者病案中的医药信息，运用Excel、IBM SPSS Statistics 25.0与IBM SPSS Modeler 18.0软件进行药物频次及分类分析、聚类分析和关联规则分析。结果：数据挖掘发现，在391例慢性失眠患者的治疗中，李旭成教授共使用了161味药物，药物频次合计6358次。药物频次分析显示，使用频次最高的前15味药为黄芪、远志、白术、白芍、首乌藤、半夏、紫苏梗、郁金、枳实、黄连、茯苓、川芎、百合、地黄、甘草。药物类别统计分析显示，排名前6的药物类别分别为补气药，安神药，补气药，补血药，安神药，化痰药。关联规则分析显示，黄芪、白术、远志三者间关联度最高。以上15味药通过药物聚类分析可将其分为五类。结论：李旭成教授的用药在总结前人诊疗经验的基础上，结合临床实际，运用益气健脾、理气化痰、清热养阴与安神相结合的治疗思路，对于慢性失眠疗效颇佳。
Objective: To study the medication rules used by Professor Xucheng Li in treating chronic insomnia based on data mining. Methods: Collecting 391 patients with insomnia who visited the hospital from August 2021 to August 2022, extract medical information from the patient records, and use Excel, IBM SPSS Statistics 25.0 and IBM SPSS Modeler 18.0 software for drug frequency and classification analysis, cluster analysis and association rule analysis. Results: Data mining found that in the treatment of 391 patients with chronic insomnia, Professor Xucheng Li used a total of 161 types of medications, with a total drug frequency of 6358 times. The analysis of drug frequency showed that the top 15 most frequently used drugs were Astragalus membranaceus, Polygala tenuifolia, Atractylodes macrocephala, Paeonia lactiflora, Polygonum multiflorum, Pinellia ternata, Perilla stem, Curcuma longa, Fructus aurantii, Coptis chinensis, Poria cocos, Ligusticum chuanxiong, Lilium brownii, Rehmannia glutinosa, and Glycyrrhiza uralensis. The statistical analysis of drug categories showed that the top six drug categories were tonifying qi drugs, calming drugs, tonifying qi drugs, blood-tonifying drugs, calming drugs, and phlegm-resolving and cough-relieving drugs. Association rule analysis shows that there is the highest correlation between Astragalus membranaceus, Atractylodes macrocephala and Polygala tenuifolia. The above 15 herbs can be classified into five categories through drug cluster analysis. Conclusion: Based on the summary of previous treatment experiences and combined with clinical practice, Professor Xucheng Li’s medication approach, which combines tonification of Qi and spleen, regulation of Qi and transformation of phlegm, clearing heat and nourishing Yin, and calming the mind, has shown remarkable efficacy in the treatment of chronic insomnia.