Jul 2026
AdaPCLA: Adaptive Prior-Calibrated Logit Adjustment for Long-Tailed Longitudinal EHR Generation
AdaPCLA framework is proposed, which enables generative models to adaptively fit and generate EHR data through a data distribution-aware training strategy; this is achieved by internalizing data knowledge parameters by simulated annealing training.
Shuai Cui, Wenxuan Chen, Wenjie Du et al.
· arXiv.org · 0 citations