Forecasting Patient Trajectories from the Electronic Health Records with Action-Conditioned World Models
arXiv:2610.23862v1 Announce Type: new Abstract: We introduce a predictive world model for electronic health records (EHR) that represents patient histories as action conditioned latent trajectories. Rather than modeling clinical events solely through autoregressive token prediction, our framework e…
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-10-21 04:00 · arXiv cs.LG
Forecasting Patient Trajectories from the Electronic Health Records with Action-Conditioned World Models