Open access
Jul 2026
Realistic Synthetic Electronic Health Record Data Generation for Cardiovascular Risk Prediction
A Large Language Model-guided retrieval-aware framework for generating realistic synthetic EHR data on a large scale to train ML models to predict cardiovascular risks accurately and achieves high performance in predicting CVD.
Kavitha Bai A. S, J. Somasekar
· Journal of Vascular Diseases · 0 citations