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J. Gogo

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Open access Jul 2026

Predicting Tungiasis Hotspots in Western Kenya Using Machine Learning and Explainable Artificial Intelligence

This study developed and evaluated an interpretable machine learning framework to predict household-level tungiasis risk in Western Kenya and identify the factors driving disease occurrence, demonstrating that complex environmental, socioeconomic, and behavioral determinants of tungiasis risk can be identified and inte...

M. Wanyonyi, J. Gogo, E. Warue · 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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