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eNauka >  Rezultati >  Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study
Naziv: Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study
Autori: Dereymaeker, Anneleen; Matic, Vladimir; Vervisch, Jan; Cherian, Perumpillichira J; Ansari, Amir H; De, Wel Ofelie; Govaert, Paul; De, Vos Maarten; Van, Huffel Sabine; Naulaers, Gunnar;
Jansen, Katrien;
Godina: 2019
Publikacija: PEDIATRICS AND NEONATOLOGY
ISSN: 1875-9572 Pediatrics and Neonatology Pretraži identifikator
Tip rezultata: Naučni članak
Kolacija: vol. 60 br. 1 str. 50-58
DOI: 10.1016/j.pedneo.2018.03.010
WoS-ID: 000456986200008
Scopus-ID: 2-s2.0-85046136786
PMID: 29705390
PMCID: PMC6372079
URI: https://enauka.gov.rs/handle/123456789/821569
Projekat: IWT grant [TBM 110697-NeoGuard]
iMinds Medical Information Technologies: Dotatie-Strategisch basis onder-zoek (SBO-2015)
Belgian Federal Science Policy Office: DYSCO, 'Dynamical systems, control and optimization', 2012-2017 [IUAP P7/19]
EU: European Re
Izvor metapodataka: (Preuzeto iz Nasi u WoS)
M-kategorija: 
22M22 - Međunarodni časopis kategorije M22

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