[1]张丽娟,陈月莹,庞然,等.基于数据挖掘方法探讨高荣林对失眠的诊治规律[J].西部中医药,2023,36(09):72-77.[doi:10.12174/j.issn.2096-9600.2023.09.16]
　ZHANG Lijuan,CHEN Yueying,PANG Ran,et al.Professor Gao Ronglin's Diagnostic and Therapeutic Laws of Insomnia Based on Data Mining[J].Western Journal of Traditional Chinese Medicine,2023,36(09):72-77.[doi:10.12174/j.issn.2096-9600.2023.09.16]
点击复制

基于数据挖掘方法探讨高荣林对失眠的诊治规律
分享到：

《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
36
期数:
2023年09期
页码:
72-77
栏目:
出版日期:
2023-09-15

文章信息/Info

Title:
Professor Gao Ronglin's Diagnostic and Therapeutic Laws of Insomnia Based on Data Mining
作者:
张丽娟, 陈月莹, 庞然, 祁雷磊
中国中医科学院广安门医院，北京 100053
Author(s):
ZHANG Lijuan, CHEN Yueying, PANG Ran, QI Leilei
Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
关键词:
失眠; 数据挖掘; 诊治规律; 高荣林
Keywords:
insomnia; data mining; diagnostic and therapeutic rule
分类号:
R256.23
DOI:
10.12174/j.issn.2096-9600.2023.09.16
文献标志码:
A
摘要:
目的基于数据挖掘方法探讨高荣林对失眠的诊治规律。 方法从中国中医科学院广安门医院门诊病历系统中导出高荣林2020年10月1日至2022年10月1日诊治的失眠患者病案，建立数据库，采用Excel对患者性别、年龄、病位证素、病性证素及证型分布进行频次统计，并运用中医传承辅助平台分析主要证型的处方用药规律。 结果男女患者的比例为9：11，涉及青少年、青壮年、老年人3个年龄段，其中以41～60岁人群为主，占总人数的61.8%（194/314）；病位证素包括五脏和胆胃，以肝、肾、脾为主；病性以血虚、肝郁、内热、阴阳失调为主；证型分布达67种，包括39种独立证型和28种复合证型，其中血虚肝旺证出现频次最高，白芍、当归、酸枣仁、郁金、远志、熟地黄、川芎、柴胡为治疗血虚肝旺型失眠的常用核心药物，常用药对有当归-酸枣仁、白芍-当归、白芍+当归-酸枣仁。 结论高荣林治疗失眠重视脏腑辨证，对于血虚肝旺型失眠擅用白芍、当归、酸枣仁、郁金、远志、熟地黄、川芎、柴胡等养血柔肝、疏肝安神，常当归与白芍，白芍、当归与酸枣仁，酸枣仁与当归配伍应用，从整体上调阴阳、补虚、畅情志，从而改善失眠。
Abstract:
ObjectiveTo discuss Professor Gao Ronglin's diagnostic and therapeutic laws of insomnia based on data mining method. MethodsMedical cases of insomnia diagnosed and treated between October 1st, 2020 and October 1st, 2022 by Professor Gao Ronglin were derived from the outpatient medical record system of Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, to establish the database, Excel was used to carry out the frequency statistics of the patients' gender, age, syndrome elements of disease location, disease natures and the distribution of the patterns, TCMISS was applied to analyze the medication rules of the main patterns in the prescriptions. ResultsThe proportion of male and female patients was 9:11, involving three age groups: teenagers, adults and the elderly. Most patients were 41～60 years old, accounting for 61.8%（194/314） of the total number; syndrome elements of disease location included five viscera, gallbladder and stomach, mainly liver, kidney, and spleen; the nature of diseases belonged to blood deficiency, liver depression, internal heat, Yin-Yang disorders, in addition, the patterns reached to 67 kinds, covering 39 independent patterns and 28 compound patterns, among them, blood deficiency and liver-Yang hyperactivity pattern was in the highest frequency; Baishao (Paeoniae radix alba), Danggui (Angelicae sinensis radix), Suanzaoren (Ziziphi spinosae semen), Yujin (Curcumae radix), Yuanzhi (Polygalae radix), processed Dihuang (Rehmanniae radix praeparata), Chuanxiong (Chuanxiong rhizoma) and Chaihu (Bupleuri radix) were the commonly-used core drugs in the treatment of blood deficiency and liver-Yang hyperactivity pattern insomnia, the common drug pairs were Danggui-Suanzaoren, Baishao-Danggui, Baishao-Danggui-Suanzaoren. ConclusionProfessor Gao Ronglin emphasizes syndrome differentiation of Zang-Fu organs in the treatment of insomnia. For blood deficiency and liver-Yang hyperactivity pattern insomnia, he is good at using the drugs of nurturing blood and softening liver, soothing liver and calming mind such as Baishao, Danggui, Suanzaoren, Yujin, Yuanzhi, processed Dihuang, Chuanxiong and Chaihu, and the common drug combinations such as Danggui-Baishao, Baishao-Danggui-Suanzaoren, Suanzaoren-Danggui, in order to regulate Yin and Yang, tonify the deficiency and free the mood entirely, thereby improving insomnia.

相似文献/References:

[1]李耀龙,代凤英,周启才,等.交藤龙牡二仁汤联合艾司唑仑治疗失眠30例[J].西部中医药,2011,24(11):34.
[2]张艳.论半夏安神治失眠[J].西部中医药,2012,25(11):43.
　ZHANG Yan.On Tranquilizing of BanXia for Insomnia[J].Western Journal of Traditional Chinese Medicine,2012,25(09):43.
[3]关亚珍,指导：张洪涛.“矩阵针法”治疗失眠的理论与临床应用研究[J].西部中医药,2013,26(10):70.
　GUAN Yazhen,DirectorZHANG Hongtao.Study on Clinical Application and Theory of “Matrix Acupuncture” in Treating Insomnia[J].Western Journal of Traditional Chinese Medicine,2013,26(09):70.
[4]王贵民,李廷保△.中医药治疗前列腺疾病用药规律的数据挖掘研究[J].西部中医药,2014,27(05):77.
　WANG Guimin,LI Tingbao.Data Mining Research on Medication Rules of TCM Treatment for Prostatic Diseases[J].Western Journal of Traditional Chinese Medicine,2014,27(09):77.
[5]马晓霞,李廷保△.基于数据挖掘治疗糖尿病的中药配伍体系研究[J].西部中医药,2015,28(03):100.
[6]刘莉莉.基于数据仓库的医院临床决策支持系统研究[J].西部中医药,2015,28(06):52.[doi:2015/6/16 0:00:00]
[7]杨德富,曹理璞.柴胡疏肝散加味治疗肝郁型失眠临床观察[J].西部中医药,2015,28(11):82.
[8]潘 文.基于数据挖掘的治疗原发性痛经方证与核心药物配伍规律分析[J].西部中医药,2015,28(12):75.
[9]冯润,唐翠霞.骨科手术患者睡眠障碍的产生及防治对策[J].西部中医药,2011,24(11):24.
[10]王海升.养血清脑颗粒治疗顽固性失眠的临床观察[J].西部中医药,2012,25(10):81.
　WANG Hai-sheng.Clinical Observation on YangXue QingNao Granules in the Treatment for Intractable Insomnia[J].Western Journal of Traditional Chinese Medicine,2012,25(09):81.
[11]张丽娜,张参军,何金丽,等.廖志峰主任医师治疗失眠用药规律：基于数据挖掘技术[J].西部中医药,2024,37(04):53.[doi:10.12174/j.issn.2096-9600.2024.04.12]
　ZHANG Lina,ZHANG Canjun,HE Jinli,et al.Data Mining-based Analysis of the Medication Rule of Chief Physician Liao Zhifeng′s Treatment of Insomnia[J].Western Journal of Traditional Chinese Medicine,2024,37(09):53.[doi:10.12174/j.issn.2096-9600.2024.04.12]

备注/Memo

备注/Memo:
张丽娟（1983—），女，硕士学位，主治医师。研究方向：超声诊断。黑龙江省教育科学“十四五”规划2021年度重点课题（GJB1421321）；黑龙江省高等教育教学改革研究重点委托项目（SJGZ20190055）。 国家重点研发计划课题（2018YFC2002203）。
更新日期/Last Update: 2023-09-15