Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis

Yongqiang Dai*, Bin Hu, Yun Su, Chengsheng Mao, Jing Chen, Xiaowei Zhang, Philip Moore, Lixin Xu, Hanshu Cai

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

16 引用 (Scopus)

摘要

High-dimensional biomedical datasets contain thousands of features used in molecular disease diagnosis, however many irrelevant or weak correlation features influence the predictive accuracy. Feature selection algorithms enable classification techniques to accurately identify patterns in the features and find a feature subset from an original set of features without reducing the predictive classification accuracy while reducing the computational overhead in data mining. In this paper we present an improved shuffled frog leaping algorithm (ISFLA) which explores the space of possible subsets to obtain the set of features that maximizes the predictive accuracy and minimizes irrelevant features in high-dimensional biomedical data. Evaluation employs the K-nearest neighbour approach and a comparative analysis with a genetic algorithm, particle swarm optimization and the shuffled frog leaping algorithm shows that our improved algorithm achieves improvements in the identification of relevant subsets and in classification accuracy.

源语言英语
主期刊名Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015
编辑lng. Matthieu Schapranow, Jiayu Zhou, Xiaohua Tony Hu, Bin Ma, Sanguthevar Rajasekaran, Satoru Miyano, Illhoi Yoo, Brian Pierce, Amarda Shehu, Vijay K. Gombar, Brian Chen, Vinay Pai, Jun Huan
出版商Institute of Electrical and Electronics Engineers Inc.
458-463
页数6
ISBN(电子版)9781467367981
DOI
出版状态已出版 - 16 12月 2015
已对外发布
活动IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015 - Washington, 美国
期限: 9 11月 201512 11月 2015

出版系列

姓名Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015

会议

会议IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015
国家/地区美国
Washington
时期9/11/1512/11/15

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