An Interpretable Machine Learning Framework for Diabetes Prediction Using SMOTE-ENN Resampling and Feature Importance Analysis
Mustafa Hammad, Ahmed E. Aboanber & Ibrahim Gad · Asian Journal of Research in Computer Science · 2026
Diabetes is a major global health challenge, making early and accurate prediction essential for improving patient outcomes and reducing healthcare burdens. This study presents an integrated framework for diabetes risk prediction using the Pima Indians Diabetes Dataset. The novelt...
Open access
Research Article
10.9734/ajrcos/2026/v19i6869