Utilizing risk-controlling prediction calibration to reduce false alarm rates in epileptic seizure prediction

Utilizing risk-controlling prediction calibration to reduce false alarm rates in epileptic seizure prediction

IntroductionEpilepsy is a neurological disease characterized by sudden, unprovoked seizures. The unexpected nature of epileptic seizures is a major component of the disease burden. Predicting seizure onset and alarming patients may allow timely intervention, which would improve clinical outcomes and...

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Bibliographic Details
Main Authors:	Galya Segal, Noam Keidar, Roy Maor Lotan, Yaniv Romano, Moshe Herskovitz, Yael Yaniv
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-09-01
Series:	Frontiers in Neuroscience
Subjects:	EEG epilepsy artificial intelligence deep learning seizure prediction risk-controlling prediction
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1184990/full

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