A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Building Bridges for Federated Learning in Healthcare: Review on Approaches for Common Data Model Development
Tekijät: von Gerich, Hanna; Chomutare, Taridzo; Peltonen, Laura-Maria
Toimittaja: Gillian Strudwick, Nicholas R. Hardiker, Glynda Rees, Robyn Cook, Young Ji Lee
Konferenssin vakiintunut nimi: International Congress on Nursing Informatics
Kustantaja: IOS Press
Julkaisuvuosi: 2024
Lehti: Studies in Health Technology and Informatics
Kokoomateoksen nimi: Innovation in Applied Nursing Informatics
Vuosikerta: 315
Aloitussivu: 711
Lopetussivu: 712
eISBN: 978-1-64368-527-4
ISSN: 0926-9630
eISSN: 1879-8365
DOI: https://doi.org/10.3233/SHTI240292
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Osittain avoin julkaisukanava
Verkko-osoite: https://doi.org/10.3233/shti240292
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/515530794
Rinnakkaistallenteen lisenssi: CC BY NC
Rinnakkaistallennetun julkaisun versio: Kustantajan versio
Common data models provide a standardized way to represent data used in federated learning tasks. The aim of this review was to explore the development and use of common data models to harmonize electronic health record data in health research. The data search yielded 724 records, of which 19 were included for this study. None of the research focused on nursing specific topics. All studies either utilized the Observational Medical Outcomes Partnership (OMOP) common data model, or developed a model partly based on the OMOP. A roadmap to guide research for the development of common data models for federated learning are warranted.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
This work is supported by Nordic Innovation.
