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cs.LG2026
Sequence Composition in EHR Foundation Model Pretraining
Joshua Placidi, Inigo Stibbe, Alfred J. Balston +2
Autoregressive electronic health record (EHR) foundation models predict the next event token in patient trajectories: sequences of structured medical events. A typical pretraining…
cs.LG2026
Autoregressive EHR Foundation Models with Multimodal Inputs
Yuxuan Liu, Joshua Placidi, Jinpei Han +3
Autoregressive foundation models trained on tokenized electronic health records (EHRs) can support zero-shot clinical prediction, yet most operate on structured event codes alone,…
cs.LG2026
Pretraining EHR Foundation Models with Patient-Aware Sampling
Joshua Placidi, Yuxuan Liu, Jinpei Han +2
Autoregressive foundation models for electronic health records (EHRs) typically inherit pretraining methods from language modeling, where patient trajectories are concatenated into…