Author

Joshua Placidi

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Jul 2026

Pretraining EHR Foundation Models with Patient-Aware Sampling

It is shown that stochastic Patient Sampling with controllable weighting improves performance on real-world EHR data, and training and validation sequence construction are identified as important and underexplored design choices for autoregressive EHR foundation models.

Joshua Placidi, Yuxuan Liu, Jinpei Han et al. · arXiv.org · 0 citations

Jul 2026

Autoregressive EHR Foundation Models with Multimodal Inputs

It is shown that merely adding auxiliary modalities does not guarantee improvement on ICU mortality prediction over an EHR-only baseline, and implies that careful design of the fusion architecture and an appropriate evaluation in the clinical context are required.

Yuxuan Liu, Joshua Placidi, Jinpei Han et al. · arXiv.org · 0 citations