mlsanityData to 7 Oct 2026

HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data

arXiv 2111.08536 ↗First posted 16 Nov 2021cs.LGcited by 38

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Abstract (arXiv)

The recent success of machine learning methods applied to time series collected from Intensive Care Units (ICU) exposes the lack of standardized machine learning benchmarks for developing and comparing such methods. While raw datasets, such as MIMIC-IV or eICU, can be freely accessed on Physionet, the choice of tasks and pre-processing is often chosen ad-hoc for each publication, limiting comparability across publications. In this work, we aim to improve this situation by providing a benchmark covering a large spectrum of ICU-related tasks. Using the HiRID dataset, we define multiple clinically relevant tasks in collaboration with clinicians. In addition, we provide a reproducible end-to-end pipeline to construct both data and labels. Finally, we provide an in-depth analysis of current state-of-the-art sequence modeling methods, highlighting some limitations of deep learning approaches for this type of data. With this benchmark, we hope to give the research community the possibility of a fair comparison of their work.

Key facts. Cited by 38 papers in the map (data through 7 Oct 2026). Builds on 17 of its 60 references that are in the map. First posted on arXiv 16 Nov 2021.

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17 of 60 references.

References · 17

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5 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 5; 2023: 8; 2024: 7; 2025: 11; 2026: 5.

38 papers.

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  1. 2023EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Modelscited by 101
  2. 2021Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applicationscited by 47
  3. 2022An Extensive Data Processing Pipeline for MIMIC-IVcited by 39
  4. 2022GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalizationcited by 28
  5. 2023Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicinecited by 24
  6. 2025ER-Reason: A Benchmark Dataset for LLM Clinical Reasoning in the Emergency Roomcited by 21
  7. 2025EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysiscited by 17
  8. 2023Improving Neural Additive Models with Bayesian Principlescited by 15
  9. 2022Temporal Label Smoothing for Early Event Predictioncited by 12
  10. 2022A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Carecited by 10
  11. 2022On the Importance of Clinical Notes in Multi-modal Learning for EHR Datacited by 10
  12. 2024A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Datacited by 10
26 more
  1. 2023Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confoundingcited by 7
  2. 2021Continual learning of longitudinal health recordscited by 5
  3. 2023On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Seriescited by 5
  4. 2024Dynamic Survival Analysis for Early Event Predictioncited by 5
  5. 2025LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Recordscited by 5
  6. 2023Knowledge Graph Representations to enhance Intensive Care Time-Series Predictionscited by 3
  7. 2024Towards Foundation Models for Critical Care Time Seriescited by 3
  8. 2023From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICUcited by 2
  9. 2023Multi-modal Graph Learning over UMLS Knowledge Graphscited by 2
  10. 2024Intensive Care as One Big Sequence Modeling Problemcited by 2
  11. 2024Large Language Model as a Universal Clinical Multi-task Decodercited by 2
  12. 2025DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentationcited by 2
  13. 2025Domain Generalization and Adaptation in Intensive Care with Anchor Regressioncited by 2
  14. 2024SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learningcited by 1
  15. 2025Failure Modes of Time Series Interpretability Algorithms for Critical Care Applications and Potential Solutionscited by 1
  16. 2025Data-Driven Discovery of Feature Groups in Clinical Time Seriescited by 1
  17. 2025SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysiscited by 1
  18. 2026A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarkingcited by 1
  19. 2026TS-Haystack: A Multi-Task Retrieval Benchmark for Long-Context Time-Series Reasoningcited by 1
  20. 2026Multi-lingual Multi-institutional Electronic Health Record based Predictive Modelcited by 1
  21. 2024A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applicationscited by 0
  22. 2025Towards Self-Supervised Foundation Models for Critical Care Time Seriescited by 0
  23. 2025Closing Gaps: An Imputation Analysis of ICU Vital Signscited by 0
  24. 2025VitalBench: A Rigorous Multi-Center Benchmark for Long-Term Vital Sign Prediction in Intraoperative Carecited by 0
  25. 2026Representation Before Training: A Practical Benchmark for Generative Medical Event Model Tokenizationcited by 0
  26. 2026TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Seriescited by 0