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.
Identification of type 2 diabetes subgroups through topological analysis of patient similarity.Science translational medicine, 7(311):311ra174–311ra174, 2015
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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.