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Hybrid feature selection and classification model using high-dimensional data based on a metaheuristic algorithm for brain cancer diagnosis.

Overview

Authors: Ibrahim I M Manhrawy1, Hanaa Fathi2, Deema M Alsekait3, Arar Altawil4, Ayda K Kelany5
ORCID iDs: Arar Altawil
  1. Software Engineering Department, Faculty of Information Technology, Applied Science Private University, Amman, 11931 Jordan
  2. College of Computer Science and Informatics, Amman Arab University, Amman, Jordan
  3. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 84428, 11671 Saudi Arabia
  4. Computer Science Department, Faculty of Information Technology, Applied Science Private University, Amman, 11931 Jordan
  5. Department of Genomic Medicine, Cairo University, Giza, 12613 Egypt
Institutions: Applied Science Private University (Jordan); Amman Arab University (Jordan); Princess Nourah bint Abdulrahman University (Saudi Arabia); Cairo University (Egypt)
Journal: Scientific reports, volume 16, issue 1, article 11909
Dates: received 17 June 2025; accepted 20 February 2026; published online 3 March 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-41573-5 · PMID 41775828 · PMCID PMC13066568 · OpenAlex W7133304838
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), other condition (population)
Methods: Connectivity, Statistics, Machine learning, Preprocessing, fMRI & imaging
Keywords: Feature selection-classification- optimization- metaheuristic algorithms, Harris Hawks optimization (HHO), Particle Swarm Optimization (PSO), Support vector machine (SVM), Biological techniques, Biophysics, Biotechnology, Cancer, Computational biology and bioinformatics
MeSH: Algorithms*, Brain Neoplasms*, Biomarkers, Tumor, Classification Algorithms, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Oligonucleotide Array Sequence Analysis, Particle Swarm Optimization, Support Vector Machine (* major topic)
Topic: Brain Tumor Detection and Classification (Neurology, Neuroscience), according to OpenAlex
Funding: Princess Nourah Bint Abdulrahman University (PNURSP2026R435)
Citations: not cited yet (Europe PMC); 65 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Tracing map

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Data

Datasets cited

Data availability statement

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  • it says that the data are available on request

Read it in the paper: doi.org/10.1038/s41598-026-41573-5.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 9 keywords, 10 MeSH terms, 1 funder, 59 references.

Cite

This paper

Manhrawy, I. I. M., Fathi, H., Alsekait, D. M., Altawil, A., & Kelany, A. K. (2026). Hybrid feature selection and classification model using high-dimensional data based on a metaheuristic algorithm for brain cancer diagnosis. Scientific reports, 16(1), 11909. https://doi.org/10.1038/s41598-026-41573-5

BibTeX

@article{manhrawy2026hybrid,
author = {Manhrawy, Ibrahim I M and Fathi, Hanaa and Alsekait, Deema M and Altawil, Arar and Kelany, Ayda K},
title = {{Hybrid feature selection and classification model using high-dimensional data based on a metaheuristic algorithm for brain cancer diagnosis}},
journal = {Scientific reports},
year = {2026},
month = mar,
volume = {16},
number = {1},
pages = {11909},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-41573-5},
url = {https://doi.org/10.1038/s41598-026-41573-5},
pmid = {41775828},
pmcid = {PMC13066568}
}

RIS

TY - JOUR
AU - Manhrawy, Ibrahim I M
AU - Fathi, Hanaa
AU - Alsekait, Deema M
AU - Altawil, Arar
AU - Kelany, Ayda K
TI - Hybrid feature selection and classification model using high-dimensional data based on a metaheuristic algorithm for brain cancer diagnosis
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/03/03
VL - 16
IS - 1
SP - 11909
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-41573-5
UR - https://doi.org/10.1038/s41598-026-41573-5
LA - en
ER -

CSL-JSON

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"title": "Hybrid feature selection and classification model using high-dimensional data based on a metaheuristic algorithm for brain cancer diagnosis",
"container-title": "Scientific reports",
"author": [
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"family": "Manhrawy",
"given": "Ibrahim I M"
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{
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"container-title-short": "Sci Rep",
"volume": "16",
"issue": "1",
"page": "11909",
"DOI": "10.1038/s41598-026-41573-5",
"PMID": "41775828",
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"ISSN": "2045-2322",
"publisher": "Nature Publishing Group",
"URL": "https://doi.org/10.1038/s41598-026-41573-5",
"language": "en",
"issued": {
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}

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