面向呼吸道疾病防治的医疗健康分析系统的研究与实践
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Research and Practice of Medical Health Analysis System for Prevention and Treatment of Respiratory Disease
  • 作者:袁勇 ; 邓韧 ; 高辉 ; 范计朋
  • 英文作者:YUAN Yong;DENG Ren;GAO Hui;FAN Jipeng;Zhong Shan City People's Hospital;
  • 关键词:呼吸道疾病 ; 医疗健康分析系统 ; 相关性
  • 英文关键词:respiratory diseases;;medical health analysis system;;correlation
  • 中文刊名:WSGL
  • 英文刊名:Chinese Journal of Health Informatics and Management
  • 机构:中山市人民医院;四川省卫生健康信息中心;电子科技大学;成都金盘电子科大多媒体技术有限公司;
  • 出版日期:2019-06-20
  • 出版单位:中国卫生信息管理杂志
  • 年:2019
  • 期:v.16
  • 基金:国家自然科学基金(项目编号:71661167005);; 四川省科技计划项目—基于云平台的医学影像质量评价体系研究与应用示范(项目编号:2017SZ0016)
  • 语种:中文;
  • 页:WSGL201903029
  • 页数:4
  • CN:03
  • ISSN:11-5120/R
  • 分类号:122-125
摘要
建设面向呼吸道疾病防治的医疗健康分析系统,旨在找出呼吸道疾病的影响因子。利用统计分析、机器学习等数据分析技术,分析空气污染物、气象数据与呼吸道疾病之间的相关性,揭示空气污染物、气象数据对呼吸道疾病病患人数的影响。医疗健康分析系统缩短了疾病研究周期,通过提供智能化的健康指导,强化"以防为主"健康理念。
        This paper aims to find out the influencing factors of respiratory diseases by constructing a medical health analysis system.By means of data analysis technology such as statistical analysis and machine learning,the correlation between air pollutants,meteorological data and respiratory diseases was analyzed.The influence of air pollutants and meteorological data on hospital admissions with respiratory diseases was revealed.The medical health analysis system shortens the cycle of medical research and strengthens the concept of "prevention first" by providing intelligent health guidance.
引文
[1]孟紫强,卢斌,潘竞界,等.沙尘天气与呼吸系统疾病日入院人数关系[J].中国公共卫生,2007,23(3):284-286.
    [2]霍爱梅,赵达生,方立群,等.华北地区主要呼吸道传染病与气象条件的关系[J].中国医药导报,2011,32(32):153-156,193.
    [3]陶辉,童建勇,沈艳辉,等.北京H区日平均气温与呼吸系统疾病死亡的病例交叉研究[J].环境与健康杂志,2011,28(7):569-572,659.
    [4]李鹏,王鑫,楚宏硕,等.医学信息系统建设对临床护理工作的促进作用[J].齐鲁医学杂志,2013,28(6):556-558,560.
    [5]顾宏明.基于云平台的移动医疗健康服务系统的设计与实现[D].北京:北京邮电大学,2012.
    [6]Edington D,Louis Y,Li K.Recent Trends in the Development of Health Management[J].Health Management Research,2001,103(76):140-147.
    [7]Chang C C,Lin C J.LIBSVM:A library for support vector machines[J].ACM transactions on intelligent systems and technology(TIST),2011,2(3):27.
    [8]Neter J,Kutner M H,Nachtsheim C J,et al.Applied linear statistical models[M].Chicago:Irwin,1996.
    [9]Tibshirani R.Regression shrinkage and selection via the lasso[J].Journal of the Royal Statistical Society:Series B(Methodological),1996,58(1):267-288.
    [10]Tipping M E.Sparse Bayesian learning and the relevance vector machine[J].Journal of machine learning research,2001,1(Jun):211-244.
    [11]Utgoff P E.Incremental induction of decision trees[J].Machine learning,1989,4(2):161-186.
    [12]Friedman J H.Greedy function approximation:a gradient boosting machine[J].Annals of statistics,2001:1189-1232.
    [13]Borgelt C,Kruse R.Induction of association rules:Apriori implementation[C]//Compstat.Physica,Heidelberg,2002:395-400.