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Article Title
Explainable AI for Malaria Diagnosis: Comparative Analysis of ML Models Using Random Forest Feature Selection and SHAP Interpretability
Authored by
David Kipngetich Chepkonga
Department of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, Kenya.
Amos Kipkorir Langat
Department of Audit, College of Accounting Science, University of South Africa, South Africa.
Ebenezer Esenogho
Department of Audit, College of Accounting Science, University of South Africa, South Africa.
Mohamed Abdirahman Jama
Department of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, Kenya.
Collins Otieno Owuor
Department of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, Kenya.
Winnie Jepkonga Kulei
Centre for Epidemiological Modelling and Analysis(CEMA), Nairobi, Kenya.
Charles Otieno Ndede
Department of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, Kenya.
Erick Munala Sifuna
Department of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, Kenya.
Samuel Kipsang Kaptum
Department of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, Kenya.
Fred Junior Onyango
Department of Pure and Applied Mathematics, Jomo Kenyatta University of Agriculture and Technology, Kenya.
John Kamwele Mutinda
School of Management, University of Science and Technology of China, Hefei, China.
Aymar AKILIMALI
Department of research, Medical Research Circle (MedReC), Goma, DR Congo.