Autori: Beslac Suzana N
| Naslov | Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study (Article) |
| Autori | Alvarez-Romero Celia ... Kovacevic Tomi S  Bokan Darijo Hromis Sanja Djekic-Malbasa Jelena N Beslac Suzana N Zaric Bojan ... (broj koautora 17)
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| Info | JMIR MEDICAL INFORMATICS, (2022), vol. 10 br. 6, str. - |
| Projekat | FAIR4Health project from the European Union's Horizon 2020 research and innovation program [824666]; Carlos III National Institute of Health through the Programa de Ciencia de Datos de la Infraestructura de Medicina de Precision asociada a la Ciencia y la Tecnologia program (IMPaCT-Data) [IMP/00019]; European Regional Development Fund Fondo Europeo de Desarrollo Regional "A way of making Europe"; Carlos III National Institute of Health through the Platform for Dynamization and Innovation of the Spanish National Health System industrial capacities and their effective transfer to the productive sector / [PT20/00088] |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: Web of Science Scopus |
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