Feasibility Study of Federated Learning on the Distributed Research Network of OMOP Common Data Model

OBJECTIVES: Since protecting patients’ privacy is a major concern in clinical research, there has been a growing need for privacy-preserving data analysis platforms. For this purpose, a federated learning (FL) method based on the Observational Medical Outcomes Partnership (OMOP) common data model (C...

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Detalles Bibliográficos
Autores principales: Lee, Geun Hyeong, Park, Jonggul, Kim, Jihyeong, Kim, Yeesuk, Choi, Byungjin, Park, Rae Woong, Rhee, Sang Youl, Shin, Soo-Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209729/
https://www.ncbi.nlm.nih.gov/pubmed/37190741
http://dx.doi.org/10.4258/hir.2023.29.2.168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209729/
https://www.ncbi.nlm.nih.gov/pubmed/37190741
http://dx.doi.org/10.4258/hir.2023.29.2.168

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