Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?
Fuente:
arXiv
Saved in:
| Main Authors: | Mayne, Harry, Parsons, Guy, Mahdi, Adam |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Can sparse autoencoders be used to decompose and interpret steering vectors?
by: Mayne, Harry, et al.
Published: (2024)
by: Mayne, Harry, et al.
Published: (2024)
Do Generalisation Results Generalise?
by: Boglioni, Matteo, et al.
Published: (2025)
by: Boglioni, Matteo, et al.
Published: (2025)
How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis
by: Yang, Yushi, et al.
Published: (2024)
by: Yang, Yushi, et al.
Published: (2024)
ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts
by: Proios, Dimitrios, et al.
Published: (2025)
by: Proios, Dimitrios, et al.
Published: (2025)
Investigating Data Interventions for Subgroup Fairness: An ICU Case Study
by: Tan, Erin, et al.
Published: (2026)
by: Tan, Erin, et al.
Published: (2026)
Review of multimodal machine learning approaches in healthcare
by: Krones, Felix, et al.
Published: (2024)
by: Krones, Felix, et al.
Published: (2024)
A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior
by: Mayne, Harry, et al.
Published: (2026)
by: Mayne, Harry, et al.
Published: (2026)
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest
by: Krones, Felix H., et al.
Published: (2024)
by: Krones, Felix H., et al.
Published: (2024)
LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations
by: Mayne, Harry, et al.
Published: (2025)
by: Mayne, Harry, et al.
Published: (2025)
Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach
by: Sun, Li, et al.
Published: (2025)
by: Sun, Li, et al.
Published: (2025)
Measurement Scheduling for ICU Patients with Offline Reinforcement Learning
by: Ji, Zongliang, et al.
Published: (2024)
by: Ji, Zongliang, et al.
Published: (2024)
An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks
by: Tajgardan, Mohsen, et al.
Published: (2026)
by: Tajgardan, Mohsen, et al.
Published: (2026)
An Algorithm for Identifying Interpretable Subgroups With Elevated Treatment Effects
by: Chiu, Albert
Published: (2025)
by: Chiu, Albert
Published: (2025)
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework
by: Ye, Yubo, et al.
Published: (2024)
by: Ye, Yubo, et al.
Published: (2024)
Doubly-Regressing Approach for Subgroup Fairness
by: Kim, Kunwoong, et al.
Published: (2025)
by: Kim, Kunwoong, et al.
Published: (2025)
Negation Neglect: When models fail to learn negations in training
by: Mayne, Harry, et al.
Published: (2026)
by: Mayne, Harry, et al.
Published: (2026)
Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning
by: Si, Yong, et al.
Published: (2025)
by: Si, Yong, et al.
Published: (2025)
Machine Learning-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database
by: Chen, Shuheng, et al.
Published: (2025)
by: Chen, Shuheng, et al.
Published: (2025)
Symmetry and Generalisation in Machine Learning
by: Elesedy, Hayder
Published: (2025)
by: Elesedy, Hayder
Published: (2025)
Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases
by: Chen, Shuheng, et al.
Published: (2025)
by: Chen, Shuheng, et al.
Published: (2025)
Learning and Naming Subgroups with Exceptional Survival Characteristics
by: Rahwanji, Mhd Jawad Al, et al.
Published: (2026)
by: Rahwanji, Mhd Jawad Al, et al.
Published: (2026)
Information Structure in Mappings: An Approach to Learning, Representation, and Generalisation
by: Conklin, Henry
Published: (2025)
by: Conklin, Henry
Published: (2025)
Domain Generalisation via Imprecise Learning
by: Singh, Anurag, et al.
Published: (2024)
by: Singh, Anurag, et al.
Published: (2024)
Think as a Doctor: An Interpretable AI Approach for ICU Mortality Prediction
by: Li, Qingwen, et al.
Published: (2025)
by: Li, Qingwen, et al.
Published: (2025)
Federated Learning with Nonvacuous Generalisation Bounds
by: Jobic, Pierre, et al.
Published: (2023)
by: Jobic, Pierre, et al.
Published: (2023)
Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment
by: von Kügelgen, Julius
Published: (2024)
by: von Kügelgen, Julius
Published: (2024)
Identifying and Characterising Response in Clinical Trials: Development and Validation of a Machine Learning Approach in Colorectal Cancer
by: Marcus, Adam, et al.
Published: (2026)
by: Marcus, Adam, et al.
Published: (2026)
Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
by: Krones, Felix, et al.
Published: (2024)
by: Krones, Felix, et al.
Published: (2024)
Reducing False Ventricular Tachycardia Alarms in ICU Settings: A Machine Learning Approach
by: Farayola, Grace Funmilayo, et al.
Published: (2025)
by: Farayola, Grace Funmilayo, et al.
Published: (2025)
DT-ICU: Towards Explainable Digital Twins for ICU Patient Monitoring via Multi-Modal and Multi-Task Iterative Inference
by: Guo, Wen
Published: (2026)
by: Guo, Wen
Published: (2026)
Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database
by: Ashrafi, Negin, et al.
Published: (2024)
by: Ashrafi, Negin, et al.
Published: (2024)
Multimodal Deep Learning for Early Prediction of Patient Deterioration in the ICU: Integrating Time-Series EHR Data with Clinical Notes
by: Sadanandan, Binesh
Published: (2026)
by: Sadanandan, Binesh
Published: (2026)
Improving Regret Approximation for Unsupervised Dynamic Environment Generation
by: Mead, Harry, et al.
Published: (2026)
by: Mead, Harry, et al.
Published: (2026)
OmniTFT: Omni Target Forecasting for Vital Signs and Laboratory Result Trajectories in Multi Center ICU Data
by: Xu, Wanzhe, et al.
Published: (2025)
by: Xu, Wanzhe, et al.
Published: (2025)
ICU Bloodstream Infection Prediction: A Transformer-Based Approach for EHR Analysis
by: Hirszowicz, Ortal, et al.
Published: (2024)
by: Hirszowicz, Ortal, et al.
Published: (2024)
Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia
by: Fan, Junyi, et al.
Published: (2025)
by: Fan, Junyi, et al.
Published: (2025)
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
by: Lee, Seungyeon, et al.
Published: (2024)
by: Lee, Seungyeon, et al.
Published: (2024)
Identifying Selections for Unsupervised Subtask Discovery
by: Qiu, Yiwen, et al.
Published: (2024)
by: Qiu, Yiwen, et al.
Published: (2024)
Quantifying Generalisation in Imitation Learning
by: Gavenski, Nathan, et al.
Published: (2025)
by: Gavenski, Nathan, et al.
Published: (2025)
Kernel-Based Learning of Chest X-ray Images for Predicting ICU Escalation among COVID-19 Patients
by: Shi, Qiyuan, et al.
Published: (2026)
by: Shi, Qiyuan, et al.
Published: (2026)
Similar Items
-
Can sparse autoencoders be used to decompose and interpret steering vectors?
by: Mayne, Harry, et al.
Published: (2024) -
Do Generalisation Results Generalise?
by: Boglioni, Matteo, et al.
Published: (2025) -
How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis
by: Yang, Yushi, et al.
Published: (2024) -
ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts
by: Proios, Dimitrios, et al.
Published: (2025) -
Investigating Data Interventions for Subgroup Fairness: An ICU Case Study
by: Tan, Erin, et al.
Published: (2026)