Explainable AI-Based Diabetes Mellitus Risk Prediction Using Naive Bayes and Support Vector Machine
This study aims to develop and compare diabetes risk prediction models using the Naive Bayes and Support Vector Machine (SVM) algorithms with an Explainable Artificial Intelligence (XAI) approach and contributes a prediction model that is not only accurate but also transparent and clinically interpretable.