基于数据挖掘与复杂网络分析湖北省肿瘤医院肺癌治疗中药用药规律

TCM Treatment Rule of Lung Cancer in Hubei Cancer Hospital Based on Data Mining and Complex Network Analysis

目的探索湖北省肿瘤医院肺癌治疗的中药用药规律。方法收集在湖北省肿瘤医院就诊的3234例肺癌住院患者的电子病例,借助IBM SPSS Modeler 18.0软件中的Apriori关联规则算法及岐黄数据AI工作站软件系统进行聚类分析和关联分析,对中医采用培元固本法治疗肺癌的用药规律进行分析。结果3234例肺癌患者使用的11293付中药处方中,16味核心用药的核心处方是黄芪、茯苓、麸炒白术、红景天、薏苡仁、麸炒枳壳、焦山楂、女贞子、枸杞子、香菇柄、白英、蜈蚣、天葵子、海藻、夏枯草、山慈菇。结论“培元固本”是中医药治疗肺癌的有效办法。采用益气健脾、“培土生金”功效的中药治疗肺癌具有明显的疗效,可改善患者生活质量。

Objective To explore the medication for lung cancer treatment at Hubei Cancer Hospital.Methods The electronic cases of 3234 hospitalized lung cancer patients in Hubei Cancer Hospital were collected.The medication of the Peiyuan Guben method in treating lung cancer was analyzed with cluster and association analyses by the Apriori association rule algorithm in IBM SPSS modeler 18.0 and Qihuang data AI workstation software system.Results In the 11293 pieces of traditional Chinese medicine used in 3234 patients with lung cancer,the core prescription of 16 core drugs were Astragalus,Coix seed,Poria,Coke hawthorn,Ligustrum lucidum,Wolfberry,Bran fried atractylodes,Mushroom stem,Bran fried citrus husk,Bittersweet herb,Centipede,Rhodiola,Semiaquilegia adoxoides,Seaweed,Prunella and Pseudobulbus cremastrae seu pleiones.Conclusion“Peiyuan Guben”is an effective method of traditional Chinese medicine in treating lung cancer.Traditional Chinese medicine with the effects of Yiqi Jianpi and Bushen Yijing has an evident curative effect in treating lung cancer and can improve patients’quality of life.