Federated Transfer Learning Framework for Adapting COVID-19 Prognostic Models from High-Resource to Low-Resource Hospitals Using Only Aggregate Statistics

cirpublications.com-KHPB-1792559945-z485520280 1792559945 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Artificial Intelligence for Healthcare Systems J. Artif. Intell. Healthc. Syst. 3149-8981 2026 5 1 Federated Transfer Learning Framework for Adapting COVID-19 Prognostic Models from High-Resource to Low-Resource Hospitals Using Only Aggregate Statistics Diego Morales Andres Gutierrez Lucia Navarro Pablo Rios 2026 10.68159/z485520280 https://cirpublications.com/pub/journal/1/article/z485520280 Vaid A, Jaladanki SK, Xu J, Teng S, Kumar A, et al. Federated learning of electronic health records to improve mortality prediction in hospitalized patients with COVID-19: machine learning approach. JMIR Med Inform. 2021;9(1):e24207. Dayan I, Roth HR, Zhong A, Harouni A, Gentili A, et al. Federated learning for predicting clinical outcomes in patients with COVID-19. Nat Med. 2021;27(10):1735-43. 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