Imagen de Portada

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Proios, Dimitrios, Bornet, Alban, Yazdani, Anthony, Rodrigues Jr, Jose F, Teodoro, Douglas
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Early Risk Stratification of Dosing Errors in Clinical Trials Using Machine Learning
por: Hêche, Félicien, et al.
Publicado: (2026)

Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?
por: Mayne, Harry, et al.
Publicado: (2024)

An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results
por: Yazdani, Anthony, et al.
Publicado: (2024)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
por: Hu, Yifan, et al.
Publicado: (2025)

Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD
por: Yeh, Chin-Chia Michael
Publicado: (2026)

Measurement Scheduling for ICU Patients with Offline Reinforcement Learning
por: Ji, Zongliang, et al.
Publicado: (2024)

Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data
por: Escudero-Arnanz, Óscar, et al.
Publicado: (2024)

Taxonomy-Conditioned Hierarchical Bayesian TSB Models for Heterogeneous Intermittent Demand Forecasting
por: Bai, Zong-Han, et al.
Publicado: (2025)

Predicting Length of Stay in Neurological ICU Patients Using Classical Machine Learning and Neural Network Models: A Benchmark Study on MIMIC-IV
por: Gabitashvili, Alexander, et al.
Publicado: (2025)

Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach
por: Sun, Li, et al.
Publicado: (2025)

Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning
por: Si, Yong, et al.
Publicado: (2025)

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases
por: Chen, Shuheng, et al.
Publicado: (2025)

Machine Learning-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database
por: Chen, Shuheng, et al.
Publicado: (2025)

Dataset Properties Shape the Success of Neuroimaging-Based Patient Stratification: A Benchmarking Analysis Across Clustering Algorithms
por: Yu, Yuetong, et al.
Publicado: (2025)

Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia
por: Fan, Junyi, et al.
Publicado: (2025)

Multimodal Deep Learning for Early Prediction of Patient Deterioration in the ICU: Integrating Time-Series EHR Data with Clinical Notes
por: Sadanandan, Binesh
Publicado: (2026)

Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database
por: Ashrafi, Negin, et al.
Publicado: (2024)

DT-ICU: Towards Explainable Digital Twins for ICU Patient Monitoring via Multi-Modal and Multi-Task Iterative Inference
por: Guo, Wen
Publicado: (2026)

A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability
por: King, Ryan, et al.
Publicado: (2026)

MIMIC-Sepsis: A Curated Benchmark for Modeling and Learning from Sepsis Trajectories in the ICU
por: Huang, Yong, et al.
Publicado: (2025)

Kernel-Based Learning of Chest X-ray Images for Predicting ICU Escalation among COVID-19 Patients
por: Shi, Qiyuan, et al.
Publicado: (2026)

Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data
por: Abdollahi, Armin, et al.
Publicado: (2024)

Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort
por: Ghasemi, Peyman, et al.
Publicado: (2023)

Improving Representation Learning of Complex Critical Care Data with ICU-BERT
por: Santos, Ricardo, et al.
Publicado: (2025)

Unsupervised Representation Learning in Deep Reinforcement Learning: A Review
por: Botteghi, Nicolò, et al.
Publicado: (2022)

Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022
por: Miyaguchi, Anthony, et al.
Publicado: (2022)

Clinical Characteristics and Laboratory Biomarkers in ICU-admitted Septic Patients with and without Bacteremia
por: Baek, Sangwon, et al.
Publicado: (2023)

Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs
por: Fernandes, Jose Geraldo, et al.
Publicado: (2026)

Affordable EEG, Actionable Insights: An Open Dataset and Evaluation Framework for Epilepsy Patient Stratification
por: Tabib, HM Shadman, et al.
Publicado: (2025)

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
por: Painchaud, Nathan, et al.
Publicado: (2024)

OmicsCL: Unsupervised Contrastive Learning for Cancer Subtype Discovery and Survival Stratification
por: Karagoz, Atahan
Publicado: (2025)

Unsupervised Learning of Group Invariant and Equivariant Representations
por: Winter, Robin, et al.
Publicado: (2022)

Machine Learning-Based Pre-Test Risk Stratification for PCR-Confirmed Chlamydia Using Patient-Reported Data and Urine Biomarkers
por: Mahdian, Mehrab, et al.
Publicado: (2026)

HealthContradict: Evaluating Biomedical Knowledge Conflicts in Language Models
por: Zhang, Boya, et al.
Publicado: (2025)

Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients
por: Rafiei, Alireza, et al.
Publicado: (2024)

Stress Estimation in Elderly Oncology Patients Using Visual Wearable Representations and Multi-Instance Learning
por: Kyprakis, Ioannis, et al.
Publicado: (2026)

Explainable Machine Learning for ICU Readmission Prediction
por: de Sá, Alex G. C., et al.
Publicado: (2023)

ICU-Sepsis: A Benchmark MDP Built from Real Medical Data
por: Choudhary, Kartik, et al.
Publicado: (2024)

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
por: Kim, Yeongmin, et al.
Publicado: (2024)

SigmaMedStat: Temporal Signal Modeling for ICU False Alarm Reduction
por: Ramachandran, Arunkumar
Publicado: (2026)