Results
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 |
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 | M-category: | Mp. category will be shown later |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.