[1]周敬文 老膺荣 李嘉豪 周薇 刘琴.基于丁酉年数据挖掘分析老膺荣主任治疗不寐经验[J].现代中医药,2023,(03):035-40.[doi:10.13424/j.cnki.mtcm.2023.03.007]
 ZHOU Jingwen LAO Yingrong LI Jiahao ZHOU WeiLIU Qin.Director LAO Yingrong’s Experience in Treating Insomnia Based on Dingyou Year Data Mining Analysis[J].Modern Traditional Chinese Medicine,2023,(03):035-40.[doi:10.13424/j.cnki.mtcm.2023.03.007]
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基于丁酉年数据挖掘分析老膺荣主任治疗不寐经验()
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《现代中医药》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2023年03期
页码:
035-40
栏目:
出版日期:
2023-05-24

文章信息/Info

Title:
Director LAO Yingrong’s Experience in Treating Insomnia Based on Dingyou Year Data Mining Analysis
文章编号:
1672-0571(2023)03-0035-06
作者:
周敬文1 老膺荣2 李嘉豪1 周薇2 刘琴2
1.广州中医药大学第二临床医学院,广东 广州 510120;
2.省部共建中医湿证国家重点实验室(广州中医药大学第二附属医院),广东 广州 510405
Author(s):
ZHOU Jingwen1 LAO Yingrong2 LI Jiahao1 ZHOU Wei2LIU Qin2
1.Second Clinical School of Guangzhou University of Chinese Medicine,Guangzhou 510120,China;
2.State Key Laboratory of Damp Syndrome of Chinese Medicine Jointly Established by Ministry and Province(The Second Affiliated Hospital of Guangzhou University of Chinese Medicine),Guangzhou 510405,China
关键词:
关键词:不寐数据挖掘老膺荣用药经验燥从湿化五运六气
Keywords:
Key words:InsomniaData miningLAO YingrongMedication experienceDryness transforming following with dampnessFive movements and six Qi
分类号:
R256.23
DOI:
10.13424/j.cnki.mtcm.2023.03.007
文献标志码:
A
摘要:
摘 要:目的 以老膺荣主任丁酉年治疗的不寐医案为例,利用数据挖掘探索老膺荣主任治疗不寐的用药经验。方法 筛选老膺荣主任2017年治疗的不寐医案,录入古今医案云平台建立数据库,进行处方药物频次统计、六气时段药物频次统计、关联分析、聚类分析、复杂网络分析。结果 共录入标准病案255例,涉及处方255首,使用中药160味,高频药物有法半夏、甘草、夏枯草、五指毛桃、首乌藤、茯苓、牛膝、地黄、木瓜、厚朴、石菖蒲、茯神,聚类分析将高频药物分为4组,复杂网络分析提示核心处方为丁年、庚年运气方之化裁。结论 老膺荣主任认为不寐的基本病机为卫气入阴不利,常见体质特征为肝血亏虚,主要用药经验为:扶阳助卫以安其寐,调补肝血以调其体,治燥“执中”不忘治湿。
Abstract:
Abstract:Objective Taking the case of insomnia treated by Director LAO Yingrong of Dingyou year as an example,to explore his medication experience in treating insomnia using data mining.Methods Screening the insomnia medical records treated by Director LAO Yingrong in 2017,inputting them into the ancient and modern medical record cloud platform to establish a database,and conducting prescription drug frequency statistics,six Qi period drug frequency statistics,correlation analysis,cluster analysis,and complex network analysis.Results A total of 255 standard medical records were recorded,involving 255 prescriptions and 160 traditional Chinese herbals.The high-frequency drugs included Pinellia ternata,Glycyrrhiza uralensis,Prunella vulgaris,Five Fingered Peach,Polygonum multiflorum,Poria cocos,Achyranthes bidentata,Rehmannia glutinosa,Papaya,Magnolia officinalis,Acorus tatarinowii,and Fushen.Cluster analysis divided the high-frequency drugs into four groups,and complex network analysis suggested that the core prescription was a modified version of the Dingnian and Gengnian Qiyun formulas.Conclusion Director LAO Yingrong believes that the basic pathogenesis of insomnia is unfavorable entry of Wei Qi into Yin,and the common physical characteristic is liver blood deficiency.The main medication experience is to support Yang and assist Wei to calm their sleep,regulate liver blood to regulate their body,and treat dryness without forgetting to treat dampness.

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备注/Memo

备注/Memo:
基金项目:省部共建中医湿证国家重点实验室专项(SZ2021ZZ01);国家中医药管理局龙砂医学流派传承基地建设项目(国中医药人教函[2012]228号);广东省中医院顾植山学术经验传承工作室项目(中医二院[2014]89号)
更新日期/Last Update: 2023-05-18