The present and future of seizure detection, prediction, and forecasting with machine learning, including the future impact on clinical trials
Wesley T. Kerr,
Katherine N. McFarlane,
Gabriela Figueiredo Pucci
Abstract:Seizures have a profound impact on quality of life and mortality, in part because they can be challenging both to detect and forecast. Seizure detection relies upon accurately differentiating transient neurological symptoms caused by abnormal epileptiform activity from similar symptoms with different causes. Seizure forecasting aims to identify when a person has a high or low likelihood of seizure, which is related to seizure prediction. Machine learning and artificial intelligence are data-driven techniques i… Show more
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