A Hybrid Feature Selection with Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis
Version 2 2024-06-04, 04:36
Version 1 2017-04-07, 14:21
journal contribution
posted on 2024-06-04, 04:36 authored by Shamsul HudaShamsul Huda, John YearwoodJohn Yearwood, HF Jelinek, MM Hassan, G Fortino, M BucklandA Hybrid Feature Selection with Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis
History
Journal
IEEE AccessVolume
4Season
Special section on healthcare big dataPagination
9145-9154Location
Piscataway, N.J.Open access
- Yes
ISSN
2169-3536eISSN
2169-3536Language
EnglishPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2017, IEEEPublisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringBrain tumormorphological featuresANNIGMAMRMRfeature selectionclassificationSEGMENTATIONIMAGESCLASSIFIERSFRAMEWORKMRI080109 Pattern Recognition and Data Mining090303 Biomedical InstrumentationSchool of Engineering080699 Information Systems not elsewhere classifiedSchool of Information Technology4609 Information systems4003 Biomedical engineering4605 Data management and data science
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