期刊文献+

基于数据挖掘技术对代谢综合征治疗方法的分析 被引量:2

Analysis on therapies for metabolic syndrome based on data mining technique
在线阅读 下载PDF
导出
摘要 目的运用数据挖掘(DM)技术分析探讨代谢综合征(MS)理想的治疗方法。方法采用计算机检索和人工筛选两种方式,收集整理截至2017年12月31日国内公开发表的MS治疗方法的文献,提取、整合疗效数据完善的文献构建4个分析模型:生活方式干预(A)、现代医学治疗(B)、中国医学治疗(C)、中西医结合治疗(D),建立MS治疗方法与治疗效果信息数据库,运用DM技术对获取的信息进行提取分析。结果 4个模型MS两个组分[体质量、空腹血糖(FPG)]的显效率得分为A(116.67分)、B(92.21分)、C(107.41分)、D(110.53分);以血压1、血压2为标准,MS 5个组分的显效率总得分分别为A(327.78、277.78分)、B(276.63、251.96分)、C(307.41、255.56分)、D(347.37、307.90分);体质量指数(BMI)、FPG达标率分别为A(27.78%、55.56%)、B(22.08%、50.65%)、C(33.33%、48.15%)、D(36.84%、44.74%)。结论中西医结合方法治疗MS,疗效处于领先地位,可作为重点挖掘和总结、推广的方法。 Objective To explore ideal therapies for metabolic syndrome(MS)by using data mining(DM)technique.Methods Domestic literatures related to MS therapies till 31 December 2017 were collected by computer retrieval and artificial screening.Four analytical models,including life style intervention(A),modern medical treatment(B),traditional Chinese medical treatment(TCM)therapy(C)and integrated Chinese and western medicine(TCM-WM)therapy(D),were constructed by extracting and integrating the literatures with detailed curative data.A database for MS therapy and efficacy was established,and the data were extracted and analyzed via DM technique.Results The significant efficiency scores of the above 4 models for MS with weight and fasting glucose(FPG)were A(116.67 points),B(92.21 points),C(107.41 points)and D(110.53 points),respectively.By two standards with blood pressure 1 and blood pressure 2,the efficiency of total scores of five components were A(327.78,277.78 points),B(276.63,251.96 points),C(307.41,255.56 points)and D(347.37,307.90 points),respectively.The achieved rates of body mass index(BMI)and FPG were A(27.78%,55.56%),B(22.08%,50.65%),C(33.33%,48.15%)and D(36.84%,44.74%),respectively.Conclusion TCM-WM therapy of MS is in the leading position and can be considered as a key therapy to explore and summarize in future.
作者 庞利娟 白荣莉 湛斌 赵文龙 庞预乔 PANG Lijuan;BAI Rongli;ZHAN Bin;ZHAO Wenlong;PANG Yuqiao(Department of Internal Medicine,Chongqing 13th People′s Hospital,Chongqing 400053,China;Medical Information School,Chongqing Medical University,Chongqing 400016,China;Chongqing Medical and Pharmaceutical College,Chongqing 401331,China)
出处 《重庆医学》 CAS 2019年第7期1168-1171,共4页 Chongqing medicine
基金 2015重庆市卫生计生委医学科研项目(2015ZBXM004)
关键词 代谢综合征 数据挖掘 治疗方法 metabolic syndrome data mining therapy
作者简介 庞利娟(1967-),主任医师,本科,主要从事老年心脑血管疾病、代谢疾病及慢病管理方面研究。
  • 相关文献

参考文献21

二级参考文献187

共引文献6988

同被引文献40

引证文献2

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部