Seizure Prediction in Epilepsy

This dataset comprises a comprehensive analysis of state-of-the-art techniques and systems for seizure detection and classification, based on various papers and studies. It integrates detailed metadata on publications, including their year, methodologies, seizure types (both ILAE-2017 and paper-specific), datasets, and biomarker utilization. The dataset also provides performance metrics such as accuracy, sensitivity, specificity, false-positive rates, and AUC-ROC values, alongside additional technical details about machine learning models, feature extraction techniques, and biomarkers.