文章摘要
刘姗,陈帅,李秋爽,等.基于数据挖掘探索周郁鸿治疗急性白血病维持期的组方用药规律[J].浙江中医药大学学报,2021,45(12):1331-1336.
基于数据挖掘探索周郁鸿治疗急性白血病维持期的组方用药规律
Analysis of ZHOU Yuhong‘s Prescription and Medication Rule for Maintenance Treatment of Acute Leukemia Based on Data Mining
DOI:10.16466/j.issn1005-5509.2021.12.013
中文关键词: 急性白血病  关联规则  聚类分析  数据挖掘  用药规律  名老中医  学术经验  周郁鸿
英文关键词: acute leukemia  association rules  cluster analysis  data mining  medication rule  famous TCM experts  academic experience  ZHOU Yuhong
基金项目:国家自然科学基金项目(81503296);浙江省自然科学基金项目(LY21H290003);浙江省中医药科技计划项目(2021ZA047);浙江中医药大学校级科研基金项目(2017ZY09)
作者单位
刘姗 浙江中医药大学附属第一医院 杭州 310006 
陈帅 浙江中医药大学研究生院 
李秋爽 浙江中医药大学附属第一医院 杭州 310006 
黄思佳 浙江中医药大学附属第一医院 杭州 310006 
叶宝东 浙江中医药大学附属第一医院 杭州 310006 
周郁鸿 浙江中医药大学附属第一医院 杭州 310006 
吴迪炯 浙江中医药大学附属第一医院 杭州 310006 
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中文摘要:
      [目的] 通过分析周郁鸿教授治疗急性白血病维持期患者的中药处方,总结周教授治疗急性白血病维持期的组方用药规律。[方法] 基于门诊病历系统,整理筛选2015年1月1日至2020年9月30日,周郁鸿教授在浙江中医药大学附属第一医院治疗的急性白血病患者的处方,经过双人审核,建立数据库。采用SPSS Modeler 18.0数据挖掘软件和SPSS Statistics 26.0统计软件,应用关联规则Apriori算法、聚类分析等数据挖掘分析方法,统计中药使用频次,分析中药之间的关联规则,挖掘核心药物组合。[结果] 共计98例患者,统计发现304首处方,合计203味中药,药物总频次为5 115次,其中出现频次高于100次的有16味中药,前5味分别是白术(85.20%)、茯苓(72.70%)、黄芪(70.39%)、党参(69.74%)和甘草(60.53%)。治疗急性白血病正虚邪恋证的前5味中药分别是白术(80.33%)、黄芪(72.68%)、茯苓(68.85%)、党参(62.30%)、陈皮(58.47%)。药性多为平性和温性,药味多为甘味,多归脾经。药物组合出现频次最高的是酸枣仁和白术,其置信度是93.83%,支持度是53.29%。[结论] 周教授治疗急性白血病维持期患者主以补虚扶正为治则,方药以益气健脾养心为主。
英文摘要:
      [Objective] To summarize Professor ZHOU Yuhong‘s prescription and medication rule for maintenance treatment of acute leukemia by analyzing her prescription of maintenance treatment of acute leukemia. [Methods] Based on the outpatient medical record system, from January 1, 2015 to September 30, 2020, there were 98 acute leukemia patients treated by Professor ZHOU in the outpatient clinic of the First Affiliated Hospital of Zhejiang Chinese Medical University. After a two-person review, a database was established. SPSS Modeler 18.0 data mining software and SPSS Statistics 26.0 software were used. The association rules Apriori algorithm, clustering analysis and other data mining analysis methods were applicated for counting the frequency of Chinese drugs, and analyzing the association rules between Chinese drugs, then mining core drug combinations. [Results] There were 98 patients, and a total of 203 Chinese drugs in 304 prescriptions, and the total frequency of the drugs was 5 115. Among them, 16 drugs appeared more than 100 times. The top 5 were fried Atractylodes macrocephala(85.20%), Poria cocos(72.70%), Astragalus membranaceus(70.39%), Codonopsis pilosula(69.74%), and Glycyrrhiza uralensis Fisch(60.53%). The top five Chinese drugs for syndrome of lingering pathogen due to deficient vital Qi were Atractylodes macrocephala(80.33%), Astragalus membranaceus(72.68%), Poria cocos(68.85%), Codonopsis pilosula(62.30%) and Citri Reticulatae Pericarpium(58.47%). The medicinal properties were mostly mild and warm, and most of them tasted sweet, and belonged to the spleen meridian. The highest frequency of the drug combination was Semen ziziphi spinosae and Atractylodes macrocephala. The confidence was 93.83% and the support was 53.29%. [Conclusion] The main principle of Professor ZHOU’s treatment for patients with maintenance treatment of acute leukemia is to tonify deficiency and restore vital energy, the prescription is mainly to invigorate the spleen and nourish the heart.
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