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Ontology- and LLM-based data harmonization for federated learning in healthcare.

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Title: Ontology- and LLM-based data harmonization for federated learning in healthcare.
Authors: Kokash N; Institute of Informatics, University of Amsterdam, Amsterdam, Netherlands., Wang L; College of Medicine, The Ohio State University, Columbus, OH, United States., Gillespie TH; Department of Neuroscience, University of California, San Diego, CA, United States., Belloum ASZ; Institute of Informatics, University of Amsterdam, Amsterdam, Netherlands., Grosso P; Institute of Informatics, University of Amsterdam, Amsterdam, Netherlands., Quinney S; School of Medicine, Indiana University, Indianapolis, IN, United States., Li L; College of Medicine, The Ohio State University, Columbus, OH, United States., de Bono B; School of Medicine, Indiana University, Indianapolis, IN, United States.
Source: Frontiers in digital health [Front Digit Health] 2026 Mar 18; Vol. 8, pp. 1756555. Date of Electronic Publication: 2026 Mar 18 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101771889 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-253X (Electronic) Linking ISSN: 2673253X NLM ISO Abbreviation: Front Digit Health Subsets: PubMed not MEDLINE
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