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