Fred Junior Onyango

Explainable AI for Malaria Diagnosis: Comparative Analysis of ML Models Using Random Forest Feature Selection and SHAP Interpretability

David Kipngetich Chepkonga, Amos Kipkorir Langat, Ebenezer Esenogho, Mohamed Abdirahman Jama, Collins Otieno Owuor, Winnie Jepkonga Kulei, Charles Otieno Ndede, Erick Munala Sifuna, Samuel Kipsang Kaptum, Fred Junior Onyango, John Kamwele Mutinda & Aymar AKILIMALI · Asian Journal of Research in Computer Science · 2026

Malaria remains one of the most significant causes of morbidity and mortality in tropical and subtropical regions, and timely diagnosis is essential for effective case management. Microscopy is the traditional parasitological reference standard, while rapid diagnostic tests (RDTs...