SIA OpenIR  > 数字工厂研究室
Feature Selection Based on Multiple Correlation Measures for Medical Examination Dataset
Li KT(李开拓); Peng H(彭慧); Zhou XF(周晓锋); Li S(李帅)
作者部门数字工厂研究室
会议名称2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IEEE IMCEC 2016
会议日期June 12-15, 2016
会议地点Guilin, China
会议录名称2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IEEE IMCEC 2016
出版者IEEE
出版地New York
2016
页码845-849
收录类别EI ; CPCI(ISTP)
EI收录号20171403534938
WOS记录号WOS:000405512400169
产权排序1
ISBN号978-1-4673-9613-4
关键词Filter Feature Selection Filter Feature Interaction Medical Examination
摘要The analysis of medical data is not an easy task for health care systems since a comprehensive medical examination is performed with hundreds of parameters. These data come with considerable amount of irrelevant and redundant features. But only a subset of these features are useful for prediction, feature selection plays a significant part in to identify critical features for building prediction models. However, a number of existing filter feature selection methods can cope with redundancy and irrelevance by using single correlation measure, and ignore the interaction between features as well. In this paper, the idea of using multiple correlation measures is adopted for filter feature selection, additionally, the used method is also take feature interaction into account. Two correlation measures that converted to the standard form of 0-1 are fused together in the used algorithm, and the complementary correlation between candidate feature and selected feature can be distinguished by introducing an item. According to four common classifiers and a medical examination dataset, the experiments can be developed in order to demonstrate the validity of the method. Experimental results can confirm that the method is superior to four representative filter feature selection methods.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19486
专题数字工厂研究室
通讯作者Li KT(李开拓)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
3.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, 110016, China
推荐引用方式
GB/T 7714
Li KT,Peng H,Zhou XF,et al. Feature Selection Based on Multiple Correlation Measures for Medical Examination Dataset[C]. New York:IEEE,2016:845-849.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Feature Selection Al(752KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li KT(李开拓)]的文章
[Peng H(彭慧)]的文章
[Zhou XF(周晓锋)]的文章
百度学术
百度学术中相似的文章
[Li KT(李开拓)]的文章
[Peng H(彭慧)]的文章
[Zhou XF(周晓锋)]的文章
必应学术
必应学术中相似的文章
[Li KT(李开拓)]的文章
[Peng H(彭慧)]的文章
[Zhou XF(周晓锋)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Feature Selection Algorithm Based on Multiple Correlation Measures for Medical Examination Dataset.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。