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Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals
Chemnitz University of Technology, Chemnitz, Germany.ORCID iD: 0000-0001-8463-3902
Örebro University, School of Science and Technology. Intelligent Systems Lab, Research Institutes of Sweden, Kista, Sweden. (Machine Perception and Interaction)ORCID iD: 0000-0002-6032-6155
Department of Neurology, Mayo Clinic Rochester, Rochester MN, USA.
Seer Medical, Melbourne, Victoria, Australia.
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2024 (English)In: Nature Machine Intelligence, E-ISSN 2522-5839, Vol. 6, no 2, p. 243-244Article in journal, Editorial material (Refereed) Published
Place, publisher, year, edition, pages
Nature Portfolio , 2024. Vol. 6, no 2, p. 243-244
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Computer Sciences
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URN: urn:nbn:se:oru:diva-111638DOI: 10.1038/s42256-024-00799-6ISI: 001161086800003Scopus ID: 2-s2.0-85185110710OAI: oai:DiVA.org:oru-111638DiVA, id: diva2:1838644
Available from: 2024-02-17 Created: 2024-02-17 Last updated: 2024-07-24Bibliographically approved

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Kleyko, Denis

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