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Comparative federated analytics of blood transfused patients in five ICU databases: using Kullback-Leibler Divergence

  • This study assesses feature distribution differences across five intensive care databases using Kullback-Leibler Divergence (KLD). Analyzing bidirectional KLD patterns between individual databases and the composite of others, stratifying by transfusion status. Results reveal heterogeneity: HiRID shows highest divergence in both directions, particularly among transfusion cases; UKA exhibits moderate overall divergence but pronounced differences in transfusion scenarios; MIMIC-IV shows minimal divergence, indicating closest alignment with group distributions. Notably, transfusion cases consistently display higher divergence than non-transfusion cases across all databases, highlighting institution-specific practices. These findings stress the importance of assessing data heterogeneity before implementing federated learning models to understand generalization capabilities.

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Metadaten
Author:Johanna Schwinn, Seyedmostafa SheikhalishahiORCiD, Matthaeus Morhart, Iñaki Soto-ReyORCiDGND, Mathias KasparORCiD, Ludwig Christian HinskeORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1256845
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/125684
ISBN:9781643686295OPAC
ISSN:0926-9630OPAC
ISSN:1879-8365OPAC
Parent Title (English):Good evaluation - better digital health: proceedings of the EFMI Special Topic Conference 2025
Publisher:IOS Press
Place of publication:Amsterdam
Editor:Ursula H. Hübner, Jan-David Liebe, Arriel Benis, Nicole Egbert, Thomas Engelsma, Parisis Gallos, Daniel Flemming, Valentina Lichtner, Romaric Marcilly, Oscar Tamburis, Sidsel Villumsen
Type:Conference Proceeding
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/10/10
First Page:57
Last Page:61
Series:Studies in Health Technology and Informatics ; 332
DOI:https://doi.org/10.3233/shti251495
Institutes:Medizinische Fakultät
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Lehrstuhl für Datenmanagement und Clinical Decision Support
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY-NC 4.0: Creative Commons: Namensnennung - Nicht kommerziell (mit Print on Demand)