Seizure forecasting with multiple timescales and features.

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Bibliographic Details
Title: Seizure forecasting with multiple timescales and features.
Authors: Liu Y; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia., Soto-Breceda A; Department of Biomedical Engineering and Graeme Clark Institute, University of Melbourne, Melbourne, Victoria, Australia., Karoly P; Department of Biomedical Engineering and Graeme Clark Institute, University of Melbourne, Melbourne, Victoria, Australia., Grayden DB; Department of Biomedical Engineering and Graeme Clark Institute, University of Melbourne, Melbourne, Victoria, Australia., Cook MJ; Department of Biomedical Engineering and Graeme Clark Institute, University of Melbourne, Melbourne, Victoria, Australia.; Department of Medicine, St. Vincent's Hospital, University of Melbourne, Fitzroy, Victoria, Australia., Freestone DR; Seer Medical, Melbourne, Victoria, Australia., Schmidt D; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia., Kuhlmann L; Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, Victoria, Australia.
Source: Epilepsia [Epilepsia] 2026 Apr; Vol. 67 (4), pp. 1778-1791. Date of Electronic Publication: 2026 Jan 28.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Science Country of Publication: United States NLM ID: 2983306R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1167 (Electronic) Linking ISSN: 00139580 NLM ISO Abbreviation: Epilepsia Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1528-1167
DOI:10.1002/epi.70076