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Beryl Kanali

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Open access Sep 2026

Feature Selection-Assisted Support Vector Machine Classification of Breast Cancer Mammographic Outcomes

Aims: This study assessed the effect of feature selection on Support Vector Machine classification of breast cancer mammographic outcomes using image-derived mammographic predictors. Study Design: The study adopted a secondary-data comparative statistical learning design. Place and Duration of Study: The study used t...

Beryl Kanali, P. Kihara, A. Karanjah · 0 citations

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