Affiliated with RCfalse
Status已發表Published
Clinical application of modified bag-of-features coupled with hybrid neural-based classifier in dengue fever classification using gene expression data
Sankhadeep Chatterjee1; Nilanjan Dey2; Fuqian Shi3; Amira S. Ashour4; Simon James Fong5; Soumya Sen6
2017-09-11
Source PublicationMEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
ISSN0140-0118
Volume56Issue:4Pages:709-720
Abstract

Dengue fever detection and classification have a vital role due to the recent outbreaks of different kinds of dengue fever. Recently, the advancement in the microarray technology can be employed for such classification process. Several studies have established that the gene selection phase takes a significant role in the classifier performance. Subsequently, the current study focused on detecting two different variations, namely, dengue fever (DF) and dengue hemorrhagic fever (DHF). A modified bag-of-features method has been proposed to select the most promising genes in the classification process. Afterward, a modified cuckoo search optimization algorithm has been engaged to support the artificial neural (ANN-MCS) to classify the unknown subjects into three different classes namely, DF, DHF, and another class containing convalescent and normal cases. The proposed method has been compared with other three well-known classifiers, namely, multilayer perceptron feed-forward network (MLP-FFN), artificial neural network (ANN) trained with cuckoo search (ANN-CS), and ANN trained with PSO (ANN-PSO). Experiments have been carried out with different number of clusters for the initial bag-of-features-based feature selection phase. After obtaining the reduced dataset, the hybrid ANN-MCS model has been employed for the classification process. The results have been compared in terms of the confusion matrix-based performance measuring metrics. The experimental results indicated a highly statistically significant improvement with the proposed classifier over the traditional ANN-CS model.

KeywordDengue Fever Bag-of-features Modified Cuckoo Search Artificial Neural Networks Gene Expression Data Incremental Feature Selection Scheme
DOI10.1007/s11517-017-1722-y
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering ; Mathematical & Computational Biology ; Medical Informatics
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology ; Medical Informatics
WOS IDWOS:000427851600014
PublisherSPRINGER HEIDELBERG
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:23   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorSankhadeep Chatterjee
Affiliation1.Department of Computer Science & Engineering, University of Calcutta, Kolkata, India
2.Department of Information Technology, Techno India College of Technology, Kolkata, India
3.College of Information and Engineering, Wenzhou Medical University, Wenzhou 325035, People’s Republic of China
4.Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt
5.Department of Computer and Information Science Data Analytics and Collaborative Computing Laboratory, University of Macau, Taipa, Zhuhai Macau, People’s Republic of China
6.A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, India
Recommended Citation
GB/T 7714
Sankhadeep Chatterjee,Nilanjan Dey,Fuqian Shi,et al. Clinical application of modified bag-of-features coupled with hybrid neural-based classifier in dengue fever classification using gene expression data[J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING,2017,56(4):709-720.
APA Sankhadeep Chatterjee,Nilanjan Dey,Fuqian Shi,Amira S. Ashour,Simon James Fong,&Soumya Sen.(2017).Clinical application of modified bag-of-features coupled with hybrid neural-based classifier in dengue fever classification using gene expression data.MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING,56(4),709-720.
MLA Sankhadeep Chatterjee,et al."Clinical application of modified bag-of-features coupled with hybrid neural-based classifier in dengue fever classification using gene expression data".MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 56.4(2017):709-720.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Sankhadeep Chatterjee]'s Articles
[Nilanjan Dey]'s Articles
[Fuqian Shi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Sankhadeep Chatterjee]'s Articles
[Nilanjan Dey]'s Articles
[Fuqian Shi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Sankhadeep Chatterjee]'s Articles
[Nilanjan Dey]'s Articles
[Fuqian Shi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.