An integrated evaluation framework for synthetic clinical data in severely imbalanced settings: fidelity, privacy-risk profiling, and diagnostic utility
Authors
K M Lee
Sang Baek Koh (ORCID: https://orcid.org/0000-0001-5609-6521)
Youngtae Kim (ORCID: https://orcid.org/0009-0003-5659-9032)
Korea Evaluation Institute of Industrial Technology
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article
An integrated evaluation framework for synthetic clinical data in severely imbalanced settings: fidelity, privacy-risk profiling, and diagnostic utility
K M Lee, Sang Baek Koh, Youngtae Kim, Jungwoo Lee
Journal
BMC Medical Informatics and Decision Making
Topics
Machine Learning in Healthcare
article
An integrated evaluation framework for synthetic clinical data in severely imbalanced settings: fidelity, privacy-risk profiling, and diagnostic utility
K M Lee, Sang Baek Koh, Youngtae Kim, Jungwoo Lee
article en
Abstract
No abstract available for this paper.
Publication Tag
BMC Medical Informatics and Decision Making
Institutions
Yonsei University (KR)
Funders
National Research Foundation of Korea, Korea Evaluation Institute of Industrial Technology