ICU Admission

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (43 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• New spectral imaging biomarkers for sepsis and mortality in intensive care
  19 Aug 2024 1 repository listed
  The predictive performance improves substantially when additional clinical data is incorporated, leading to an AUROC of up to 0.
• Zero Shot Health Trajectory Prediction Using Transformer
  30 Jul 2024 1 repository listed Syntology ran 3 of 6 samples · 3 unverified
  Integrating modern machine learning and clinical decision-making has great promise for mitigating healthcare's increasing cost and complexity.
• Enhancing clinical decision support with physiological waveforms -- a multimodal benchmark in emergency care
  25 Jul 2024 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  However, the integration of multimodal data, including raw waveform signals, remains underexplored in clinical decision support.
• A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
  21 May 2024 1 repository listed
  Proactive analysis of patient pathways helps healthcare providers anticipate treatment-related risks, identify outcomes, and allocate resources.
• Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
  3 Jan 2024 1 repository listed
  We achieve F1 scores of 0.
• Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining
  13 Sep 2023 1 repository listed
  This method capitalizes on a small set of accurately labeled training data and leverages ICP-calculated reliability metrics to rectify mislabeled data and outliers within vast quantities of noisy training data.
• The leap to ordinal: detailed functional prognosis after traumatic brain injury with a flexible modelling approach
  10 Feb 2022 1 repository listed
  We analysed the effect of 2 design elements on ordinal model performance: (1) the baseline predictor set, ranging from a concise set of 10 validated predictors to a token-embedded representation of all possible…
• A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data
  18 Nov 2020 1 repository listed
  The ability to perform accurate prognosis of patients is crucial for proactive clinical decision making, informed resource management and personalised care.
• Individualized Prediction of COVID-19 Adverse outcomes with MLHO
  10 Aug 2020 1 repository listed
  Our results demonstrated that while demographic variables (namely age) are important predictors of adverse outcomes after a COVID-19 infection, the incorporation of the past clinical records are vital for a reliable…
• Integrative Analysis for COVID-19 Patient Outcome Prediction
  20 Jul 2020 1 repository listed
  Management of high-risk patients with early intervention is a key to lower the fatality rate of COVID-19 pneumonia, as a majority of patients recover naturally.
• A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction
  9 Feb 2020 1 repository listed
  Combined EHR-PTS24 models had higher discrimination (area under the receiver operating characteristic curve [AUC]) than models which used either EHR or PTS24 alone, for the prediction of survival (AUC 0.
• Early hospital mortality prediction using vital signals
  18 Mar 2018 1 repository listed
  In order to predict the risk, quantitative features have been computed based on the heart rate signals of ICU patients.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.