4 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…
Scene Text Recognition with Semantics
Joshua Cesare Placidi, Yishu Miao, Zixu Wang +1
Scene Text Recognition (STR) models have achieved high performance in recent years on benchmark datasets where text images are presented with minimal noise. Traditional STR recogni…