A hybrid metaheuristic framework for epileptic seizure detection in healthcare decision support systems

The hybrid metaheuristic approach effectively optimizes the processing and classification of EEG data for seizure detection. Its strong performance across datasets suggests potential for integration into interactive health applications. Furthermore, its patient-specific adaptability makes it a promising tool for personalized epilepsy diagnosis, treatment, and long-term management.