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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) 
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 ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
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