期刊文献+

基于数据挖掘分析中医联合化疗治疗非小细胞肺癌用药规律

Analysis of Medication Regularity of TCM Combined with Chemotherapy in the Treatment of Non-Small Cell Lung Cancer Based on Data Mining
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摘要 目的基于数据挖掘分析中医药在接受化疗治疗的非小细胞肺癌(NSCLC)的患者中的成方规律,以期为临床遣方用药及新药研发提供一定的借鉴。方法检索并筛选中国期刊全文数据库、中国学术期刊数据库、中国生物医学文献数据库、中文科技期刊数据库等数据库收载的中医药口服方剂治疗非小细胞肺癌的文献作为数据来源,通过筛选后建立方剂数据库,运用EXCEL、SPSS和SPSSModeler软件对用药配伍关系、用药频次及剂量、中药药性、症状等进行归纳分析,使用Apriori算法构建关联规则模型,并采用Cytoscape对中药共现关系构建可视化网络图形。结果共纳入文献156篇;涉及方剂156首,中药241味;关联规则分析发现常用中药高频组合9组,发现关联规则共51条,可视化网络提示核心中药组方为四君子汤;常用中药使用频次前3位是黄芪、麦冬、茯苓;五味以甘最为常用,苦、辛次之,归经以肺多见,脾胃次之,四气以平、温、微寒多见;层次聚类分析得出5大类。结论通过数据挖掘分析得出NSCLC患者接受化疗中的组方规律,并从中初步总结NSCLC接受化疗者的病机核心状态及化疗药物的药性。 Objective:To analyze the set prescription regularity of traditional Chinese medicine in patients with non-small cell lung cancer(NSCLC)treated by chemotherapy based on data mining,in order to provide certain reference for clinical medication and new herb development.Methods:Literature on TCM oral prescriptions for treatment of non-small cell lung cancer that was collected in Chinese journal full-text database,Chinese academic journal database,Chinese biomedical literature database,Chinese science and technology journal database and other databases were retrieved and screened as data sources,and prescription databases were established after screening.The herb compatibility,frequency and dose,property and the patients'symptoms were summarized and analyzd by EXCEL,SPSS and SPSSModeler.Association rule model was made by Apriori algorithm,and visual network graph was constructed by using Cytoscape on the co-occurrence relationship of TCM.Results:A total of 156 literature was included,involving 156 prescriptions and 241 TCM herbs.Association rules analysis found 9 groups of high-frequency combinations of commonly used herbs and 51 association rules.The visualization network suggested the core of TCM prescriptions was Sijunzi decoction.The top 3 most frequently used herbs were Astragalus,Ophiopogon and Poria.The five tastes was usually sweet,followed by bitter and pungent,and the most common channel tropism was lung,followed by spleen and stomach.The four properties were usually moderate,warm and slightly cold.The hierarchical cluster analysis resulted in 5 categories.Conclusion:Through data mining analysis,the prescription regularity of TCM combination with chemotherapy in NSCLC patients was obtained,and the core state of pathogenesis and the properties of chemotherapy drugs in NSCLC patients were preliminarily summarized.
作者 苏振邦 易良杰 SU Zhen-bang;YI Liang-jie(Guangzhou University of Traditional Chinese Medicine,Guangzhou 510006,China;Huizhou Hospital,Guangzhou University of Traditional Chinese Medicine,Huizhou 516000,China)
出处 《云南中医中药杂志》 2024年第4期31-36,共6页 Yunnan Journal of Traditional Chinese Medicine and Materia Medica
基金 2023年广东省中医药管理局项目(20231347)。
关键词 非小细胞肺癌 数据挖掘 中医药 用药规律 化疗 性味 Non-Small Cell Lung Cancer Data Mining Traditional Chinese Medicine Prescription Regularity Chemotherapy Property and Taste
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