3 papers
cs.LG2025
DualAlign: Generating Clinically Grounded Synthetic Data
Rumeng Li, Xun Wang, Hong Yu
Synthetic clinical data are increasingly important for advancing AI in healthcare, given strict privacy constraints on real-world EHRs, limited availability of annotated rare-condi…
cs.CL2025
A New NMT Model for Translating Clinical Texts from English to Spanish
Rumeng Li, Xun Wang, Hong Yu
Translating electronic health record (EHR) narratives from English to Spanish is a clinically important yet challenging task due to the lack of a parallel-aligned corpus and the ab…
cs.LG2025
Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans
Rumeng Li, Xun Wang, Dan Berlowitz +7
Early prediction of Alzheimer's disease (AD) is crucial for timely intervention and treatment. This study aims to use machine learning approaches to analyze longitudinal electronic…