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…
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- 2026-10-20 04:00 · arXiv cs.LG
Forecasting Patient Trajectories from the Electronic Health Records with Action-Conditioned World Models