Millions of individuals throughout the world suffer from the chronic condition diabetes. It is characterized by elevated blood sugar levels due to inadequate insulin production or utilization. Insulin ...

Many clinical datasets are intrinsically imbalanced, dominated by overwhelming majority groups. Off-the-shelf machine learning models that optimize the prognosis of majority patient types (e.g., ...

A novel approach called Counterfactual Synthetic Minority Oversampling Technique (SMOTE) has been developed to tackle the persistent issue of imbalanced data in healthcare. Traditional models trained ...