EEG Seizure Prediction via Ensemble Learning and Feature Selection
Accurate predictive modelling in EEG-based seizure forecasting is challenging. It is constrained by significant inter-patient variability and limited patient-specific data. This leads to poor generalisation in conventional pooled learning approaches. This study proposes a patient-specific seizure prediction framework t...