Epilepsy Prediction

Epilepsy Prediction involves using advanced computational methods and machine learning techniques to analyze biological signals such as electroencephalograms (EEGs) to forecast the likelihood of an epileptic seizure. Its aim is to identify early warning signs of seizures in advance, providing patients with timely alerts so they can take preventive measures, thereby reducing the harm caused by seizures. The application value of this technology lies in improving the quality of life for patients, optimizing the allocation of medical resources, and providing data support for clinical research.