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eNauka >  Results >  Machine learning-based assessment of serum creatinine and NT-proBNP levels for predicting mortality in patients with heart failure and kidney injury
Title: Machine learning-based assessment of serum creatinine and NT-proBNP levels for predicting mortality in patients with heart failure and kidney injury
Authors: Djurovic, Vladimir; Petrovic, Milovan  ; Ilic, Aleksandra MR  ; Stojsic-Milosavljevic, Anastazija  ; Milovancev, Aleksandra B  ; Velicki, Lazar U  ; Cemerlic-Maksimovic, Snezana; Popovic, Milica S  ; Strazmester-Majstorovic, Gordana B ; Golubovic, Sonja  ;
Issue Date: 2024
Publication: NEPHROLOGY DIALYSIS TRANSPLANTATION
ISSN: 0931-0509 Nephrology Dialysis Transplantation Search Idenfier
Type: Conference Paper
Collation: vol. 39 br. Supplement_1 str. I1819-I1819
DOI: 10.1093/ndt/gfae069.1119
WoS-ID: 001267529302141
URI: https://enauka.gov.rs/handle/123456789/934937
Metadata source: (Preuzeto iz Nasi u WoS)
Note: 61st Congress of European-Renal-Association (ERA), Stockholm, SWEDEN, MAY 23-26, 2024
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