A single LLM fine-tuned with a learned summary bottleneck forecasts next-hour EHR states and iteratively simulates multi-hour patient trajectories across ED, ward, and ICU on MIMIC-IV.
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EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records
A single LLM fine-tuned with a learned summary bottleneck forecasts next-hour EHR states and iteratively simulates multi-hour patient trajectories across ED, ward, and ICU on MIMIC-IV.