نسخة أولية وصول مفتوح
Bridging the EHR Divide: Asymmetric Contrastive Learning for Cross-National Medical Representation Transfer
Cross-system transfer of longitudinal Electronic Health Record (EHR) representations is challenging because clinical coding, patient populations, and healthcare workflows differ substantially across institutions and countries. We introduce Asymmetric Supervised Contrastive Learning (Asymmetric SupCon), a task-specific …