Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention
作者: Omneya AttallahAlan KarthikesalingamPeter J. E. HoltMatthew M. ThompsonRob SayersMatthew J. BownEddie C. ChokeXianghong Ma
作者单位: 1Aston University
2College of Engineering and Technology, Arab Academy for Science and Technology
3St George’s Vascular Institute
4St George’s University Hospitals NHS Foundation Trust
5University of Leicester
刊名: BMC Medical Informatics and Decision Making, 2017, Vol.17 (1)
来源数据库: Springer Nature Journal
DOI: 10.1186/s12911-017-0508-3
关键词: Survival analysisCensoringFeature selectionModel selectionFactor analysisCox’s hazard proportional modelEndovascular aortic aneurysm repair
英文摘要: Feature selection (FS) process is essential in the medical area as it reduces the effort and time needed for physicians to measure unnecessary features. Choosing useful variables is a difficult task with the presence of censoring which is the unique characteristic in survival analysis. Most survival FS methods depend on Cox’s proportional hazard model; however, machine learning techniques (MLT) are preferred but not commonly used due to censoring. Techniques that have been proposed to adopt MLT to perform FS with survival data cannot be used with the high level of censoring. The researcher’s previous publications proposed a technique to deal with the high level of censoring. It also used existing FS techniques to reduce dataset dimension. However, in this paper a new FS technique was...
原始语种摘要: Feature selection (FS) process is essential in the medical area as it reduces the effort and time needed for physicians to measure unnecessary features. Choosing useful variables is a difficult task with the presence of censoring which is the unique characteristic in survival analysis. Most survival FS methods depend on Cox’s proportional hazard model; however, machine learning techniques (MLT) are preferred but not commonly used due to censoring. Techniques that have been proposed to adopt MLT to perform FS with survival data cannot be used with the high level of censoring. The researcher’s previous publications proposed a technique to deal with the high level of censoring. It also used existing FS techniques to reduce dataset dimension. However, in this paper a new FS technique was...
全文获取路径: Springer Nature  (合作)
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影响因子:1.603 (2012)

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关键词翻译
关键词翻译
  • selection 选择
  • validation 证实
  • proportional 成比例的
  • features 特征
  • survival 生存
  • technique 技术
  • existing 现行
  • researcher 研究员
  • machine 机器
  • repair 修理