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. |
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| 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 |
| Database: | MEDLINE Ultimate |
| ISSN: | 2673-253X |
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| DOI: | 10.3389/fdgth.2026.1756555 |
