Rezultati

eNauka >  Rezultati >  Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design
Title: Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design
Authors: Ivanović, Marija D.  ; Hannink, Julius; Ring, Matthias; Baronio, Fabio; Vukčević, Vladan; Hadžievski, Ljupčo  ; Eskofier, Bjoern
Issue Date: 2020
Publication: Artificial Intelligence in Medicine
ISSN: 0933-3657 Artificial Intelligence in Medicine Search Idenfier
Type: Article
Collation: 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
Project: 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-category: 
21aM21a

16
SCOPUSTM
7
PubMed CentralTM
3
OpenCitations
13
WEB OF SCIENCETM
Alt metrika
Dimensions
Unpaywall

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