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

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 (CD...

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Bibliographic Details
Main Authors: Geun Hyeong Lee, Jonggul Park, Jihyeong Kim, Yeesuk Kim, Byungjin Choi, Rae Woong Park, Sang Youl Rhee, Soo-Yong Shin
Format: Article
Language:English
Published: The Korean Society of Medical Informatics 2023-04-01
Series:Healthcare Informatics Research
Subjects:
machine learning
deep learning
distributed systems
privacy
common data element
Online Access:http://e-hir.org/upload/pdf/hir-2023-29-2-168.pdf

Internet

http://e-hir.org/upload/pdf/hir-2023-29-2-168.pdf

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