Results

eNauka >  Results >  Developing a machine learning model for bleeding prediction in patients with cancer-associated thrombosis receiving anticoagulation therapy
Title: Developing a machine learning model for bleeding prediction in patients with cancer-associated thrombosis receiving anticoagulation therapy
Authors: Grdinic, Aleksandra G; Radovanovic, Sandro  ; Gleditsch, Jostein; Tovik-Jorgensen, Camilla; Asady, Elia; Pettersen, Heidi Hassel; Delibasic, Boris  ; Ghanima, Waleed
Issue Date: 2024
Publication: JOURNAL OF THROMBOSIS AND HAEMOSTASIS
ISSN: 1538-7933 Journal of Thrombosis and Haemostasis Search Idenfier
Type: Article
Collation: vol. 22 br. 4 str. 1094-1104
DOI: 10.1016/j.jtha.2023.12.034
WoS-ID: 001222345800001
Scopus-ID: 2-s2.0-85184008761
URI: https://enauka.gov.rs/handle/123456789/937993
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21a+M21a+

19
SCOPUSTM
3
OpenCitations
18
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.