ICU Mortality
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Benchmarks
HiRID
Most implemented
Zero Shot Health Trajectory Prediction Using Transformer
Early prediction of the risk of ICU mortality with Deep Federated Learning
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes
Dynamic Measurement Scheduling for Event Forecasting using Deep RL
Papers
Beyond Demographic Balance: Multi-Metric and Intersectional Evaluation of Fairness in MIMIC-IV Mortality Prediction
Fairness conclusions in clinical prediction can depend strongly on both the metrics reported and the demographic resolution at which performance is evaluated. We revisit these evaluation choices for ICU mortality predict…
Mortality PredictionICU MortalityTowards end-to-end LLM-based censoring-aware survival analysis
Objective: Survival analysis is central to medical prediction, yet large language models (LLMs) are rarely used as end-to-end survival models because censoring prevents straightforward supervised fine-tuning. Here we pre…
ICU MortalityTraXion: Rethinking Pre-training Frameworks for Mobility and Beyond
Human mobility differs from text and from generic time series in three structural ways: visits are tuple-valued events whose meaning depends on the joint distribution over location, time, and activity; users carry persis…
Anomaly DetectionLink PredictionICU MortalityLearning temporal embeddings from electronic health records of chronic kidney disease patients
We investigate whether temporal embedding models trained on longitudinal electronic health records can learn clinically meaningful representations without compromising predictive performance, and how architectural choice…
Representation LearningICU MortalityImproving Fairness of Large Language Model-Based ICU Mortality Prediction via Case-Based Prompting
Accurately predicting mortality risk in intensive care unit (ICU) patients is essential for clinical decision-making. Although large language models (LLMs) show strong potential in structured medical prediction tasks, th…
ICU MortalityTransparent Early ICU Mortality Prediction with Clinical Transformer and Per-Case Modality Attribution
Early identification of intensive care patients at risk of in-hospital mortality enables timely intervention and efficient resource allocation. Despite high predictive performance, existing machine learning approaches la…
ICU Mortality