Physiological trajectories transfer better than observation patterns in ICU mortality
Physiological trajectories improve external eICU prediction while observation patterns remain sensitive to measurement timing.
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Stories tagged #mimic
Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis
Ranking-aware prompt evolution lifts clinical AUROC on Qwen3-VL-8B and MedGemma-4B versus accuracy-based search.
Overwhelmed by Choice: Studying LLM Decision Making at Scale
LLM accuracy falls as candidate sets grow, and hierarchical or permutation inference recovers about 20 points at N=160.
NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting
Researchers introduce NOAH, a generative time-aware transformer trained on 559 million MIMIC clinical events to model and forecast patient trajectories.
NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting
Researchers introduce NOAH, a time-aware generative transformer trained on 559 million MIMIC clinical events to forecast multimodal patient trajectories.