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Ebiomedicine|December 22, 2017
Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile SystemIsabell Kiral-Kornek, Subhrajit Roy, Ewan Nurse, et al.Annals of Clinical and Translational Neurology|February 23, 2018
Is seizure frequency variance a predictable quantity?Daniel M Goldenholz, Shira R Goldenholz, Robert Moss, et al.Epilepsy Research|August 8, 2017
Does accounting for seizure frequency variability increase clinical trial power?Daniel M Goldenholz, Shira R Goldenholz, Robert Moss, et al.Elife|July 22, 2020
A taxonomy of seizure dynamotypesMaria Luisa Saggio, Dakota Crisp, Jared M Scott, et al.Epilepsia|April 15, 2023
Seizure occurrence is linked to multiday cycles in diverse physiological signalsNicholas M Gregg, Tal Pal Attia, Mona Nasseri, et al.Epilepsia|December 29, 2019
Ensembling crowdsourced seizure prediction algorithms using long-term human intracranial EEGChip Reuben, Philippa Karoly, Dean R Freestone, et al.Brain : a Journal of Neurology|August 14, 2018
Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEGLevin Kuhlmann, Philippa Karoly, Dean R Freestone, et al.Pageof 2