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Author

P. Kihara

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2 papers indexed here

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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
Open access Sep 2026

Feature Selection in Over-dispersed Binary and Count Data Models Using Penalized Optimal Estimating Functions

Generalized linear models (GLMs) remain a core class of supervised machine learning models for binary and count responses, with feature selection commonly carried out through penalized likelihood or quasi-likelihood methods. This paper develops a feature-selection framework based on penalized Optimal Estimating Functio...

Timothy Mutunga, Ali Salim, P. Kihara et al. · 0 citations

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