5 papers
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…
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,…
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…
Feedback Linearization for Replicator Dynamics: A Control Framework for Evolutionary Game Convergence
Adil Faisal
This paper demonstrates the first application of feedback linearization to replicator dynamics, driving the evolution of non-convergent evolutionary games to systems with guarantee…
Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management
Yuxuan Liu, Jinpei Han, Padmanabhan Ramnarayan +1
Clinical machine learning deployment across institutions faces significant challenges when patient populations and clinical practices differ substantially. We present a systematic…