Author

Hoda Waguih

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Open access Aug 2026

A machine learning framework for cost-efficient resource allocation: evidence from HER2-positive breast cancer diagnosis in low-resource settings

Accurate identification of HER2-positive breast cancer is essential for treatment planning; however, diagnostic decision-making in resource-constrained healthcare systems is challenged by class imbalance, which can substantially reduce the detection of clinically important minority-class cases. Although numerous imbala...

Hoda Waguih · Future Business Journal · 1 citation

Sep 2026

Interpretable feature reduction for HER2-positive breast cancer diagnosis: a rough set theory approach

The results indicate that the clinically curated feature set is highly informative and exhibits low redundancy, and that RST primarily serves to validate feature sufficiency while enabling modest model simplification.

Hoda Waguih · Neural computing & applicati... · 2 citations