The present and future of seizure detection, prediction, and forecasting with machine learning, including the future impact on clinical trials.

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Bibliographic Details
Title: The present and future of seizure detection, prediction, and forecasting with machine learning, including the future impact on clinical trials.
Authors: Kerr WT; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States., McFarlane KN; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States., Figueiredo Pucci G; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States.
Source: Frontiers in neurology [Front Neurol] 2024 Jul 11; Vol. 15, pp. 1425490. Date of Electronic Publication: 2024 Jul 11 (Print Publication: 2024).
Publication Type: Journal Article; Review
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-2295
DOI:10.3389/fneur.2024.1425490