Journal article

Ensembling crowdsourced seizure prediction algorithms using long-term human intracranial EEG

Chip Reuben, Philippa Karoly, Dean R Freestone, Andriy Temko, Alexandre Barachant, Feng Li, Gilberto Titericz, Brian W Lang, Daniel Lavery, Kelly Roman, Derek Broadhead, Gareth Jones, Qingnan Tang, Irina Ivanenko, Oleg Panichev, Timothee Proix, Michal Nahlik, Daniel B Grunberg, David B Grayden, Mark J Cook Show all

Epilepsia | Wiley | Published : 2020


Seizure prediction is feasible, but greater accuracy is needed to make seizure prediction clinically viable across a large group of patients. Recent work crowdsourced state‐of‐the‐art prediction algorithms in a worldwide competition, yielding improvements in seizure prediction performance for patients whose seizures were previously found hard to anticipate. The aim of the current analysis was to explore potential performance improvements using an ensemble of the top competition algorithms. The results suggest that minor increments in performance may be possible; however, the outcomes of statistical testing limit the confidence in these increments. Our results suggest that for the specific al..

View full abstract