The Use of Hellinger Distance Undersampling Model to Improve the Classification of Disease Class in Imbalanced Medical Datasets.
- DOI
- 10.1155/2020/8824625
- Published
- 2020
- Container
- Applied bionics and biomechanics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1155/2020/8824625,
title = {The Use of Hellinger Distance Undersampling Model to Improve the Classification of Disease Class in Imbalanced Medical Datasets.},
author = {Al-Shamaa ZZR and Kurnaz S and Duru AD and Peppa N and Mirnezami AH and Hamady ZZR},
year = {2020},
journal = {Applied bionics and biomechanics},
doi = {10.1155/2020/8824625},
url = {https://doi.org/10.1155/2020/8824625}
}RIS
TY - JOUR TI - The Use of Hellinger Distance Undersampling Model to Improve the Classification of Disease Class in Imbalanced Medical Datasets. AU - Al-Shamaa ZZR AU - Kurnaz S AU - Duru AD AU - Peppa N AU - Mirnezami AH AU - Hamady ZZR PY - 2020 JO - Applied bionics and biomechanics DO - 10.1155/2020/8824625 UR - https://doi.org/10.1155/2020/8824625 ER -
APA
ZZR, A., S, K., AD, D., N, P., AH, M., & ZZR, H. (2020). The Use of Hellinger Distance Undersampling Model to Improve the Classification of Disease Class in Imbalanced Medical Datasets.. Applied bionics and biomechanics. https://doi.org/10.1155/2020/8824625
Source records
- pubmed · retrieved 2026-09-25T01:51:43.843Z
- europe-pmc · retrieved 2026-09-25T01:51:43.896Z