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Multi-Task TabGraphSyn: Graph-Based Synthetic EHR Generation with Improved Quality-Privacy Trade-offs for Opioid Use Disorder Prediction

2026-04-27

Abstract excerpt

Electronic health record (EHR) data are critical for clinical research but are challenging to share due to privacy and re-identification risks, particularly in sensitive domains such as opioid use disorder (OUD). Synthetic data generation offers a promising alternative; however, existing methods often struggle to preserve complex multivariate dependencies while maintaining a strong balance between data utility and...

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Literature Corpus work
7c442957-e381-5698-91f8-1d70905833c9
DOI
10.64898/2026.04.24.26351704
Open publication

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Multi-Task TabGraphSyn: Graph-Based Synthetic EHR Generation with Improved Quality-Privacy Trade-offs for Opioid Use Disorder PredictionDOI 10.64898/2026.04.24.26351704
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