Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design

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Naziv:	Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design
Autori:	Ivanović, Marija D. ; Hannink, Julius; Ring, Matthias; Baronio, Fabio; Vukčević, Vladan; Hadžievski, Ljupčo ; Eskofier, Bjoern
Godina:	2020
Publikacija:	Artificial Intelligence in Medicine
ISSN:	0933-3657 Artificial Intelligence in Medicine Pretraži identifikator
Tip rezultata:	Naučni članak
Kolacija:	vol. 110 str. 101963-101963
DOI:	10.1016/j.artmed.2020.101963
WoS-ID:	000595170100001
Scopus-ID:	2-s2.0-85092661204
PMID:	33250144
URI:	https://enauka.gov.rs/handle/123456789/229814 https://vinar.vin.bg.ac.rs/handle/123456789/9678
Projekat:	Capturing and quantitative analysis of multi-scale multi-channel diagnostic data. (EU-691051) Fotonika mikro i nano strukturnih materijala (RS-45010) Heisenberg professorship programme (grant No. ES 434/8-1) Federal Ministry of Education and Research of Germany (grant No. 01IS17070)
M-kategorija:	21aM21a - Vodeći međunarodni časopis kategorije M21a

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