李元文教授治疗头皮部脂溢性皮炎用药经验数据挖掘分析
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国家中医药管理局十三五重点专科经费资助;北京中医药大学教育科研课题(XJY17001)——中医皮肤病辨病与辨证结合的数据库建立与新型教学软件研发;北京中医药大学横向科研项目(HX201706)——复方紫草油治疗慢性湿疹(血虚风燥证)的临床及动物实验研究


Data Mining of Professor Li Yuanwen's Experience on Prescription of Treating Scalp Seborrheic Dermatitis
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    摘要:

    目的:运用数据挖掘方法分析总结李元文教授治疗头皮部脂溢性皮炎的用药经验。方法:收集2016年10月至2018年1月经李教授诊治有效的头皮部脂溢性皮炎患者病例资料120例。应用“中医传承辅助平台系统(V2.5)”对处方中药物频次、四气五味及归经进行分析;利用关联规则分析挖掘药物关联规则。结果:120首处方共涉及151味中药,药性以寒、温、平为主,药味以苦、甘、辛为主,归经多属脾、肝、胃、肺经。其中李教授治疗头皮部脂溢性皮炎的核心药物为苍术、薏苡仁、白术、茯苓、陈皮、半夏、枳壳、山楂、枇杷叶、侧柏叶、白花蛇舌草。结论:采用数据挖掘方法分析总结李教授治疗头皮部脂溢性皮炎用药规律,为传承其学术经验提供了更加客观的统计学依据。

    Abstract:

    To analyze and summarize Professor Li Yuanwen's experience in treating scalp seborrheic dermatitis by using data mining method.Methods:Information about 120 cases of scalp seborrheic dermatitis treated by Professor Li Yuanwen from October 2016 to January 2018 was collected.The Traditional Chinese Medicine Inheritance Support System (V2.5) was used to analyze the frequency of drug use,four properties and five tastes of the herbs and their channel tropism.The association rules was used analyze mining drug association rules.Results:A total of 151 herbs were obtained through analyzing 120 prescriptions.The main herbal properties were cold,warm and plain.The main herbal tastes were bitter,sweet and pungent.The channel tropism of these herbs were mainly in spleen,liver,stomach and lung channel.And the core prescription herbs were Rhizoma Atractylodis,Semen Coicis,Rhizoma Atractylodis Macrocephalae,Poria,Pericarpium Cirri Reticulatae,Rhizoma Pinelliae,Fructus Aurantii,Fructus Crataegi,Folium Eriobotryae,Herba Hedyotis.Conclusion:The data mining was used to analyze and summarize Professor Li Yuanwen's medication experience on scalp seborrheic dermatitis to provide a more objective statistical basis for inheriting his academic experience.

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吴迪,蔡玲玲,胡博,姜晓媛,冯蕙裳,郭丽媛,李元文.李元文教授治疗头皮部脂溢性皮炎用药经验数据挖掘分析[J].世界中医药,2018,(11).

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  • 收稿日期:2018-10-10
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  • 在线发布日期: 2018-11-26
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