CAJ | 학술논문

目的：基于数据挖掘当代名医陈友芝中医药治疗癌症用药规律的研究。方法：将《陈友芝中医治癌百例》中医方剂录入计算机，使用Microsoft Office Excel 2003软件，建立数据库，运用统计学方法统计分析其用药规律。结果：整理治癌中药复方354首，使用中药231种，总用药次数4136次。结论：临床以清热药、补虚药、利水渗湿药、消食药、化痰平喘药等为主；核心单味药依次为半枝莲、茯苓、薏苡仁、白花蛇舌草、神曲、绞股蓝、白芍、守宫、贝母、苦参、山楂、白术等。
목적：기우수거알굴당대명의진우지중의약치료암증용약규률적연구。방법：장《진우지중의치암백례》중의방제록입계산궤，사용Microsoft Office Excel 2003연건，건립수거고，운용통계학방법통계분석기용약규률。결과：정리치암중약복방354수，사용중약231충，총용약차수4136차。결론：림상이청열약、보허약、이수삼습약、소식약、화담평천약등위주；핵심단미약의차위반지련、복령、의이인、백화사설초、신곡、교고람、백작、수궁、패모、고삼、산사、백술등。
Objective: To investigate medication principles of modern famous doctor Chen Youzhi applying TCM to cancer patients based on data mining. Methods: TCM prescriptions in Chen Youzhi′s cases of applying TCM to cancer patients were typed into the computer, data base was founded by Microsoft Office Excel 2003, medication principles were analyzed by statistical methods. Results: Altogether 354 pieces of TCM prescriptions were collected, involved 231 kinds of herbs, total medication frequency reached 4 136 times. Conclusion: Main drugs are of heat-clearing, tonification, promoting diuresis and damp-clearing, digestion, resolving sputum and relieving asthma and others in clinic;core single herbs in turn: BanZhiLian (Scutellaria barbata D. Don), FuLing [Poria cocos (Schw.) Wolf], Jobstears seed, BaiHua SheShe Cao (Hedyotis diffusa Willd.), ShenQu (Massa Medicata Fermentata), JiaoGuLan [Gynostemma pentaphyllum (Thunb.) Makino], BaiShaoYao (White Paeony Root), ShouGong (Gekko japonicus Dumeril et Bibron), BeiMu (fritillary), KuShen (Sophora flavescens), ShanZha (Crataegus pinnatifida Bunge), BaiZhu (Atractylodes macrocephala Koidz.) and others.