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[1]李文浩,牛逸群,譚明生.基于數(shù)據(jù)挖掘法探討中醫(yī)藥治療脊髓型頸椎病的用藥規(guī)律[J].中醫(yī)正骨,2021,33(01):22-26.
 LI Wenhao,NIU Yiqun,TAN Mingsheng.A study of medication rule of Traditional Chinese Medicine for treatment of cervical spondylotic myelopathy based on data mining approach[J].The Journal of Traditional Chinese Orthopedics and Traumatology,2021,33(01):22-26.
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基于數(shù)據(jù)挖掘法探討中醫(yī)藥治療脊髓型頸椎病的用藥規(guī)律()
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《中醫(yī)正骨》[ISSN:1001-6015/CN:41-1162/R]

卷:
第33卷
期數(shù):
2021年01期
頁碼:
22-26
欄目:
文獻(xiàn)研究
出版日期:
2021-01-20

文章信息/Info

Title:
A study of medication rule of Traditional Chinese Medicine for treatment of cervical spondylotic myelopathy based on data mining approach
作者:
李文浩1牛逸群2譚明生1
(1.中日友好醫(yī)院,北京 100029; 2.北京中醫(yī)藥大學(xué),北京 100029)
Author(s):
LI Wenhao1NIU Yiqun2TAN Mingsheng1
1.China-Japan Friendship Hospital,Beijing 100029,China2.Beijing University of Chinese Medicine,Beijing 100029,China
關(guān)鍵詞:
頸椎病 中醫(yī)藥學(xué)文獻(xiàn) 組方原則 數(shù)據(jù)挖掘 方劑分析計算機(jī)輔助 聚類分析
Keywords:
cervical spondylosis med pharmacol literature TCM formula composing principles data mining formula analcomput assist cluster analysis
摘要:
目的:探討中醫(yī)藥治療脊髓型頸椎病的用藥規(guī)律。方法:通過計算機(jī)檢索中國生物醫(yī)學(xué)文獻(xiàn)數(shù)據(jù)庫、中國知網(wǎng)、萬方數(shù)據(jù)庫、維普網(wǎng)、Cochrane Library、PubMed及EMbase數(shù)據(jù)庫從建庫至2020年1月收錄的中醫(yī)藥治療脊髓型頸椎病的文獻(xiàn),按照納排標(biāo)準(zhǔn)篩選文獻(xiàn),將篩選出的方劑的相關(guān)數(shù)據(jù)錄入Microsoft Excel 2010軟件建立數(shù)據(jù)庫,分析每味藥物的使用頻次及按性味、歸經(jīng)分類后藥物的累積使用頻次; 基于中醫(yī)傳承輔助系統(tǒng)軟件(V2.5)對所選數(shù)據(jù)采用關(guān)聯(lián)分析中的Apriori算法分析常見組方規(guī)律,采用聚類分析法演化出核心組方及新方組合。結(jié)果:共篩選出127首方劑,其中使用頻次居于前3位的中藥依次為當(dāng)歸、黃芪、川芎,藥性多偏溫,藥味偏甘、辛,歸經(jīng)以肝、脾、心、腎為主; 分析出常用中藥組合15個,挖掘出26個核心組合、13個新方組合。結(jié)論:中醫(yī)藥治療脊髓型頸椎病,多用性偏溫,味偏甘、辛,入肝、脾、心、腎經(jīng)的中藥; 多以補(bǔ)陽還五湯為核心進(jìn)行加減組方; 核心組方和新方組合可為臨床遣方用藥提供參考,但其療效有待進(jìn)一步研究。
Abstract:
To explore the medication rule of Traditional Chinese Medicine(TCM)for treatment of cervical spondylotic myelopathy(CSM).Methods:All articles about TCM for treatment of CSM included from database establishing to January 2020 were retrieved from Chinese biomedical literature database,China national knowledge internet,WanFang database,VIP database,Cochrane Library,PubMed and EMbase Database through computer.The articles were screened according to the inclusion and exclusion criterias of the articles.The TCM prescriptions involved in the articles that met the requirements were search out,and their information were inputed into Microsoft Excel 2010 software to build the database.The usage frequency of each drug and the accumulated usage frequency of drugs that were classificated according to property and flavour and meridian distribution were analyzed repectively.Based on TCM inheritance support system(TCMISS)software(V2.5),the common medication rules were searched out through analyzing the selected data by using Apriori algorithm in association analysis and the core prescriptions and new prescription combinations were obtained by using cluster analysis.Results:One hundred and twenty-seven TCM prescriptions were searched out,and the top 3 Chinese drugs with high usage frequency included angelica sinensis,astragalus membranaceus and ligusticum chuanxiong in turn.The drug property presented mainly with warm,and the drug flavours presented mainly with sweet and pungent,and the meridian distributions presented mainly with liver meridian,spleen meridian,heart meridian and kidney meridian.Fifteen common TCM combinations,26 core TCM combinations and 13 new TCM prescription combinations were obtained.Conclusion:In TCM for treatment of CSM,the drug property presented mainly with warm,and the drug flavours presented mainly with sweet and pungent,and the meridian distributions presented mainly with liver meridian,spleen meridiank,heart meridian and kidney meridian.Buyang Huanwu Tang(補(bǔ)陽還五湯)was usually used as the core of TCM combinations.The core TCM combinations and new TCM prescription combinations can provide reference for clinical medication,while their curative effects need to be further studied.

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備注/Memo

備注/Memo:
基金項目:國家自然科學(xué)基金項目(81873141)
通訊作者:譚明生 E-mail:[email protected]
更新日期/Last Update: 2021-01-20