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A Hybrid Feature Selection with Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis

journal contribution

posted on 2016-01-01, 00:00 authored by Shamsul HudaShamsul Huda, John YearwoodJohn Yearwood, H F Jelinek, M M Hassan, G Fortino, M Buckland

A Hybrid Feature Selection with Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis

History

Journal

IEEE Access

Volume

4

Pagination

9145 - 9154

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Publisher DOI

https://doi.org/10.1109/ACCESS.2016.2647238

ISSN

2169-3536

eISSN

2169-3536

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000395560800014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2017, IEEE

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Keywords

Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Brain tumor morphological features ANNIGMA MRMR feature selection classification SEGMENTATION IMAGES CLASSIFIERS FRAMEWORK MRI

Licence

All Rights Reserved

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