Results
eNauka >
Results >
Follow-up and risk assessment in patients with myocardial infarction using artificial neural networks
| Title: | Follow-up and risk assessment in patients with myocardial infarction using artificial neural networks | Authors: | Gligorijević, Tatjana  ; Ševarac, Zoran  ; Milovanović, Branislav ; Đajić, Vlado; Zdravković, Marija ; Hinić, Saša ; Arsić, Marina; Aleksić, Milica |
Issue Date: | 2017 | Publication: | Complexity | ISSN: | 1076-2787 Complexity Search Idenfier |
Publisher: | New York, NY : Wiley & Sons | Type: | Article | Collation: | vol. 2017 str. 1-8 | DOI: | 10.1155/2017/8953083 | WoS-ID: | 000410742500001 | Scopus-ID: | 2-s2.0-85030792191 | VBS COBISS: | 86137609 | URI: | https://rfos.fon.bg.ac.rs/handle/123456789/1627 https://enauka.gov.rs/handle/123456789/457218 https://plus.cobiss.net/cobiss/sr/sr/bib/86137609#izum.si |
URL: | https://onlinelibrary.wiley.com/doi/10.1155/2017/8953083 | Project: | Развој мултиваријабилних метода за аналитичку подршку биомедицинској дијагностици Оптоелектронски нанодимензиони системи - пут ка примени |
Metadata source: | Migracija | M-category: | 21a+M21a+ |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.