Mortality Prediction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 77 papers with code (189 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.

• Multitask learning and benchmarking with clinical time series data
  22 Mar 2017 11 repositories listed Syntology ran 4 of 40 samples · 36 unverified · 5 pointer-only (licence)
  Health care is one of the most exciting frontiers in data mining and machine learning.
• A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
  16 Sep 2022 3 repositories listed Syntology ran 2 of 8 samples · 6 unverified · 3 pointer-only (licence)
  Many deep learning models have been proposed to conduct clinical predictive tasks such as mortality prediction for COVID-19 patients in intensive care units using Electronic Health Record (EHR) data.
• Efficient nonparametric statistical inference on population feature importance using Shapley values
  16 Jun 2020 3 repositories listed Syntology ran 15 of 25 samples · 10 unverified
  The true population-level importance of a variable in a prediction task provides useful knowledge about the underlying data-generating mechanism and can help in deciding which measurements to collect in subsequent…
• ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
  3 Oct 2024 2 repositories listed
  We introduce ColaCare, a framework that enhances Electronic Health Record (EHR) modeling through multi-agent collaboration driven by Large Language Models (LLMs).
• MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning
  2 Sep 2024 2 repositories listed
  We trained a federated deep learning model to estimate BrainAge in three cohorts.
• Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data
  2 Sep 2024 2 repositories listed
  Results: Among the CML models, XGBoost and RF achieved the highest accuracy, with F1 scores of 0.
• Benchmarking machine learning models on multi-centre eICU critical care dataset
  2 Oct 2019 2 repositories listed
  This is the first public benchmark on a multi-centre critical care dataset, comparing the performance of clinical gold standard with our predictive model.
• Using Clinical Notes with Time Series Data for ICU Management
  12 Sep 2019 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Monitoring patients in ICU is a challenging and high-cost task.
• Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
  7 May 2019 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  However, flexible tools such as artificial neural networks (ANNs) suffer from a lack of interpretability limiting their acceptability to clinicians.
• Countdown Regression: Sharp and Calibrated Survival Predictions
  21 Jun 2018 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Probabilistic survival predictions from models trained with Maximum Likelihood Estimation (MLE) can have high, and sometimes unacceptably high variance.
• MIMIC-III, a freely accessible critical care database
  24 May 2016 2 repositories listed
  MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital.
• Large Language Models are Powerful Electronic Health Record Encoders
  24 Feb 2025 1 repository listed
  In this study, we explore the use of general-purpose Large Language Models (LLMs) to encode EHR into high-dimensional representations for downstream clinical prediction tasks.
• Chest X-ray Foundation Model with Global and Local Representations Integration
  7 Feb 2025 1 repository listed
  Our experimental results show that CheXFound outperforms state-of-the-art models in classifying 40 disease findings across different prevalence levels on the CXR-LT 24 dataset and exhibits superior label efficiency on…
• Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning
  6 Nov 2024 1 repository listed
  In this study, we define a framework for applying TD learning to real-time irregularly sampled time series data using a Semi-Markov Reward Process.
• Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series
  3 Nov 2024 1 repository listed
  Accurately predicting blood glucose (BG) levels of ICU patients is critical, as both hypoglycemia (BG < 70 mg/dL) and hyperglycemia (BG > 180 mg/dL) are associated with increased morbidity and mortality.
• IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities
  24 Oct 2024 1 repository listed
  Accurate prediction of mortality in nasopharyngeal carcinoma (NPC), a complex malignancy particularly challenging in advanced stages, is crucial for optimizing treatment strategies and improving patient outcomes.
• FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
  17 Aug 2024 1 repository listed Syntology ran 8 of 8 samples · 0 unverified · 8 pointer-only (licence)
  This study introduces the Federated Medical Knowledge Injection (FEDMEKI) platform, a new benchmark designed to address the unique challenges of integrating medical knowledge into foundation models under privacy…
• Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking
  8 Aug 2024 1 repository listed
  Under this counterfactual design, two models are trained with identical data, features, and settings, except for the method of measuring oxygen saturation: models using SaO2 are a "control" and models using SpO2 a…
• 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.
• Open (Clinical) LLMs are Sensitive to Instruction Phrasings
  12 Jul 2024 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  Instruction-tuned Large Language Models (LLMs) can perform a wide range of tasks given natural language instructions to do so, but they are sensitive to how such instructions are phrased.
• What is Fair? Defining Fairness in Machine Learning for Health
  13 Jun 2024 1 repository listed
  Ensuring that machine learning (ML) models are safe, effective, and equitable across all patients is critical for clinical decision-making and for preventing the amplification of existing health disparities.
• Feature importance to explain multimodal prediction models. A clinical use case
  29 Apr 2024 1 repository listed
  In this work, we develop a multimodal deep-learning model for post-operative mortality prediction using pre-operative and per-operative data from elderly hip fracture patients.
• Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
  31 Jan 2024 1 repository listed Syntology ran 13 of 16 samples · 3 unverified · 16 pointer-only (licence)
  In addition, the ML models trained with DeCaPH framework in general outperform those trained solely with the private datasets from individual parties, showing that DeCaPH enhances the model generalizability.
• XAI for In-hospital Mortality Prediction via Multimodal ICU Data
  29 Dec 2023 1 repository listed
  To address this issue, this paper proposes an eXplainable Multimodal Mortality Predictor (X-MMP) approaching an efficient, explainable AI solution for predicting in-hospital mortality via multimodal ICU data.
• Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
  21 Dec 2023 1 repository listed
  The online validation set incorporated 52 HRCT scans from patients with fibrotic lung disease and the offline test set included 140 cases from fibrosis and COVID-19 patients.
• MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records
  20 Dec 2023 1 repository listed
  This leads to a highly interpretable survival topic model that can infer PheCode-specific phenotype topics associated with patient mortality.
• Multimodal Pretraining of Medical Time Series and Notes
  11 Dec 2023 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  In downstream tasks, including in-hospital mortality prediction and phenotyping, our pretrained model outperforms baselines in settings where only a fraction of the data is labeled, emphasizing its ability to enhance…
• Fast and Interpretable Mortality Risk Scores for Critical Care Patients
  21 Nov 2023 1 repository listed
  GroupFasterRisk's models performed better than risk scores currently used in hospitals, and on par with black box ML models, while being orders of magnitude sparser.
• MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees
  17 Nov 2023 1 repository listed
  We then provide an overview of the phenotypic data distribution as well as a visualization of the sensor data patterns.
• Dynamic Multimodal Information Bottleneck for Multimodality Classification
  2 Nov 2023 1 repository listed
  Specifically, our information bottleneck module serves to filter out the task-irrelevant information and noises in the fused feature, and we further introduce a sufficiency loss to prevent dropping of task-relevant…

Syntology lines on 11 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.