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J. Mbithi

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Open access Sep 2026

Calibration and Uncertainty Quantification for Machine Learning Models in Imbalanced HIV Viral Load Prediction: A Reliability-Based Evaluation

Machine learning (ML) models for HIV prediction are often evaluated using discrimination metrics (e.g., AUC) while neglecting calibration and predictive uncertainty, a critical gap in imbalanced clinical datasets where inaccurate probability estimates can harm decision-making. This study evaluated the calibration, unce...

J. Mbithi, Maurice Wanyonyi, Nyakora Bichang'a Simion · 0 citations
Open access Jul 2026

SHAP-Based Explainable Machine Learning for Predicting Loan Default among Women-Owned Microenterprises in Kenya

Background: Access to credit remains a major challenge for women-owned microenterprises in sub-Saharan Africa, yet existing loan default prediction models often lack transparency and interpretability. This study aimed to develop and evaluate a SHAP-based explainable machine learning framework for predicting loan defaul...

Maurice Wanyonyi, J. Gogo, Dennis Muchuki Kinini et al. · 0 citations

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