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eNauka >  Results >  Development and clinical validation of an artificial intelligence-based decision support system for predicting risk, diagnosis, and progression of heart failure (STRATIFYHF): a study protocol
Title: Development and clinical validation of an artificial intelligence-based decision support system for predicting risk, diagnosis, and progression of heart failure (STRATIFYHF): a study protocol
Authors: Charman, Sarah J; Okwose, Nduka C; Groenewegen, A; Tafelmeier, M; Banerjee, P; Fernandez, Oscar G; Zamorano, JL; Bravo, M Jimenez Blanco; Maier, Lars S; Olivotto, I;
Rutten, Frans H; Mant, Jonathan; Velicki, Lazar  ; Seferovic, Petar M ; Jakovljevic, Djordje G;
Issue Date: 2024
Publication: EUROPEAN JOURNAL OF HEART FAILURE
ISSN: 1388-9842 European Journal of Heart Failure Search Idenfier
Publisher: Wiley
Type: Conference Paper
Collation: vol. 26 br. Suppl 2 str. 166-166
WoS-ID: 001290635501128
URI: https://enauka.gov.rs/handle/123456789/944831
Project: EU
European Union's Horizon Europe research and innovation programme [101080905, 23.00202]
Federal Department of Economic Affairs, Education and Research EAER, State Secretariat for Education, Research and Innovation SERI and Finance Research and Innovation/European Framework Programmes, for Suisse Confederation and United Kingdom Research and I [10073472]
Metadata source: (Preuzeto iz Nasi u WoS)
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