ArticleArabian journal for science and engineering2021
An Improved Hybrid Approach for Handling Class Imbalance Problem.
Article in Arabian journal for science and engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Integrating augmentation-aware manifold smoothing and momentum-adjusted loss for handling class imbalance in thoracic disease detection.Frontiers in medicine · 2026Article
- Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity.Scientific reports · 2025Article
- Edge computing-based ensemble learning model for health care decision systems.Scientific reports · 2024Article
- In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records.JAMIA open · 2024Article
- Classification of Obesity among South African Female Adolescents: Comparative Analysis of Logistic Regression and Random Forest Algorithms.International journal of environmental research and public health · 2023Article
- Machine Learning Models to Predict Future Frailty in Community-Dwelling Middle-Aged and Older Adults: The ELSA Cohort Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023Article
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2 authors.
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Abstract
Class imbalance issue that presents in many real-world datasets exhibit favouritism toward the majority class and showcases poor performance for the minority class. Such misclassifications may incur dubious outcome in case of disease diagnosis and other critical applications. Hence, it is a hot topic for the researchers to tackle the class imbalance issue. We present a novel hybrid approach for handling such datasets. We utilize simulated annealing algorithm for undersampling and apply support vector machine, decision tree,
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