A graph-based framework learns a shared semantic space for EHR data harmonization by integrating site-specific summaries, biomedical knowledge graphs, and LLM semantics, evaluated across seven institutions in two languages.
Privacy protec- tion and intrusion avoidance for cloudlet-based medical data sharing.IEEE transactions on Cloud computing, 8(4):1274–1283, 2016
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Representation learning to advance multi-institutional studies with electronic health record data from US and France
A graph-based framework learns a shared semantic space for EHR data harmonization by integrating site-specific summaries, biomedical knowledge graphs, and LLM semantics, evaluated across seven institutions in two languages.