Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study

Rezultati

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

31
SCOPUS^TM

19
PubMed Central^TM

12
OpenCitations

31
WEB OF SCIENCE^TM

Alt metrika

Dimensions

Unpaywall

Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.