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基于数据挖掘探讨中医药内服治疗皮肤癌的用药规律

Based on Data Mining to Explore the Law of Oral Chinese Medicine Treatment of Skin Cancer
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摘要 目的采用数据挖掘探究皮肤癌中医药内服方剂的用药规律,为中医药治疗皮肤癌提供借鉴。方法在Excel 2021表中建立符合筛选标准方剂的数据库,统计组方中药的性味、归经等;核心中药的关联规则采用IBM SPSS Modeler 18.0软件分析;核心中药的聚类分析及因子分析采用IBM SPSS Statistic 24.0软件进行。结果59首纳入方剂含有中药162味,所有中药累计使用702次。以性寒味苦归肝经的中药居多,其次是性温味甘辛,归脾胃经、肺经的中药。16味核心中药按功效可分为5类,分别为补虚药甘草、黄芪、当归等;清热药金银花、白花蛇舌草等;利水渗湿药茯苓、薏苡仁,以及活血化瘀药川芎,理气药陈皮。支持度最高的关联规则有甘草-黄芪,黄芪-当归-甘草,黄芪-茯苓-当归-甘草等。核心中药聚类分析得到4个聚类方;因子分析提取7个公因子。结论中医药内服治疗皮肤癌宜选当归、黄芪、金银花、白花蛇舌草、茯苓、薏苡仁、川芎等补虚药、清热药、渗湿药、化瘀药,坚持有是证用是药,辩证配伍使用。 Objective This study aims to explore the medication rules of traditional Chinese medicine(TCM)oral prescriptions for skin cancer based on data mining,providing reference for TCM treatment of skin cancer.Methods TCM prescriptions that meet the screening criteria were entered into the Excel 2021 database to establish a database.The properties,flavors,and meridians of the involved TCM were statistically analyzed.IBM SPSS Modeler 18.0 was used for core TCM association rule analysis.IBM SPSS Statistic 24.0 software was utilized for core TCM clustering analysis and factor analysis.Results 59 included TCM prescriptions contains 162 Chinese medicines,which were used 702 times in total.The majority of the TCM were cold in nature,bitter in taste,and belonged to the liver meridian.The next most common were warm in nature,sweet and spicy in taste,and belonged to the spleen-stomach and lung meridians.The 16 core TCM were classified into 5 categories based on their functions,including tonifying deficiency herbs such as licorice,astragalus,angelica;heat-clearing herbs such as honeysuckle and scutellaria;diuretic and dampness-dispelling herbs such as poria and coix seed;blood-activating and stasis-resolving herbs such as chuanxiong and qi-regulating drugs such as tangerine peel.The highest support association rules included"licoriceastragalus""astragalus-angelica-licorice""astragalus-tuckahoe-angelica-licorice"and so on.Four clustered prescriptions were obtained through core TCM clustering analysis,and seven common factors were extracted through factor analysis.Conclusion TCM oral treatment for skin cancer should consider using tonifying deficiency herbs such as angelica and astragalus,heatclearing herbs such as honeysuckle and scutellaria and dampness-dispelling herbs such as poria and coix seed,and bloodactivating and stasis-resolving herbs such as chuanxiong.It is important to adhere to the principle of"treating the syndrome with corresponding medicine"and use TCM prescriptions based on individualized pattern differentiation.
作者 常振楠 CHANG Zhennan(Medical College of Hebi Polytechnic College,Hebi Henan 458000,China)
出处 《药品评价》 CAS 2024年第4期424-428,共5页 Drug Evaluation
关键词 中医药 内服 皮肤癌 数据挖掘 关联规则 聚类分析 因子分析 TCM Oral Skin cancer Data mining Association rule Cluster analysis Factor analysis
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