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Publikation

Federated Learning in Multi-Center, Personalized Healthcare for COPD and Comorbidities: The RE-SAMPLE Platform.

Jakob Fabian Lehmann; Gesa Wimberg; Serge Autexier; Alberto Acebes; Agni Delvinioti; Nicoletta di Giorgi; Thrasyvoulos Giannakopoulos; Christos Kalloniatis; Konstantina Kostopoulou; Sofoklis Kyriazakos; Costas Lambrinoudakis; Danae Lekka; Andreas Menegatos; Giulio Pagliari; Aristodemos Pnevmatikakis; Monique Tabak
In: Sylvia Pelayo (Hrsg.). Proceedings 18th International Conference on Health Informatics (HEALTHINF 2025), 20-22 February 2025. International Conference on Health Informatics (HEALTHINF-2025), 18th International Conference on Health Informatics, located at BIOSTEC-2025, February 20-22, Porto, Portugal, ISBN 978-989-758-731-3, SCITEPRESS, 2/2025.

Zusammenfassung

Federated learning is becoming more and more popular, also in healthcare applications. The platform, developed within a multidisciplinary consortium, is enabling privacy-preserving training of machine learning models generating predictions for patients with chronic obstructive pulmonary disease and comorbidities. Moreover, data synchronization and monitoring is made possible using the HL7 FHIR standard. The platform provides two front ends; a patient facing smartphone app and a healthcare professional facing dashboard that is used inside three different hospitals in Italy, Estonia and the Netherlands. The overall architecture and implementation into practice is shown in this paper.

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