Feature Selection Based on Multiple Correlation Measures for Medical Examination Dataset
文献类型：会议论文
| 作者 | Li KT(李开拓); Peng H(彭慧) ; Zhou XF(周晓锋); Li S(李帅)
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| 出版日期 | 2016 |
| 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 |
| 关键词 | filter feature selection filter feature interaction medical examination |
| 页码 | 845-849 |
| 通讯作者 | 李开拓 |
| 中文摘要 | 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. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议录 | 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IEEE IMCEC 2016
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-4673-9613-4 |
| 源URL | [http://ir.sia.cn/handle/173321/19486]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 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]. 见:2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IEEE IMCEC 2016. Guilin, China. June 12-15, 2016. |
入库方式： OAI收割
来源：沈阳自动化研究所
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