Essentials of Predicting Epileptic Seizures Based on EEG Using Machine Learning: A Review

Objective: Epilepsy is one of the chronic diseases, which requires exceptional attention. The unpredictability seizures makes it worse for a person suffering from epilepsy. Methods: challenge to predict using modern machine learning algorithms and computing resources would be boon with epilepsy its caregivers. Researchers have shown great interest in task epileptic seizure prediction few decades. However, results obtained not clinical applicability because high false-positive ratio. lack standard practices field challenging novice ones follow research. chances reproducibility result are negligible due unavailability implementation environment-related details, use datasets, evaluation parameters. Results: Work here presents essential components required seizures, includes basics epilepsy, treatment, need algorithms. It also gives detailed comparative analysis datasets used by different researchers, tools technologies used, algorithm considerations, Conclusion: main goal this paper synthesize methodologies creating broad view state-of-the-art prediction.