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,…
Predictive Multimodal Modeling of Diagnoses and Treatments in EHR
Cindy Shih-Ting Huang, Clarence Boon Liang Ng, Marek Rei
While the ICD code assignment problem has been widely studied, most works have focused on post-discharge document classification. Models for early forecasting of this information c…
Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records
Mireia Hernandez Caralt, Clarence Boon Liang Ng, Marek Rei
Electronic Health Records (EHR) serve as a valuable source of patient information, offering insights into medical histories, treatments, and outcomes. Previous research has develop…