Respiratory Failure

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (26 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.

• Data-Driven Modeling of IRCU Patient Flow in the COVID-19 Pandemic
  11 Jun 2025 1 repository listed
  This study evaluated clinical outcomes and operational dynamics of a new Spanish IRCU with specialized staffing.
• Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise
  10 Jul 2023 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Overall, our approach improves accuracy while mitigating potential bias compared to existing approaches in the presence of instance-dependent label noise.
• Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
  23 Mar 2023 1 repository listed
  Determining clinically relevant physiological states from multivariate time series data with missing values is essential for providing appropriate treatment for acute conditions such as Traumatic Brain Injury (TBI),…
• Temporal Label Smoothing for Early Event Prediction
  29 Aug 2022 1 repository listed Syntology ran 2 of 9 samples · 7 unverified
  TLS reduces the number of missed events by up to a factor of two over previously used approaches in early event prediction.
• HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
  16 Nov 2021 1 repository listed Syntology ran 4 of 8 samples · 4 unverified
  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.
• Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure
  27 Aug 2021 1 repository listed
  Conclusions: Machine learning models combining chest radiographs and EHR data can accurately differentiate between common causes of acute respiratory failure.
• How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series
  23 Apr 2020 1 repository listed
  TOF had superior performance compared to LOF and discord algorithms even in recognizing traditional outliers and it also recognized unique events that those did not.
• A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room
  29 Jul 2019 1 repository listed
  In this paper, we propose a factored generalized additive model (F-GAM) to preserve the model interpretability for targeted features while allowing a rich model for interaction with features fixed within the individual.
• Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series
  7 Jun 2019 1 repository listed
  In settings with limited data, relaxed parameter sharing can lead to improved patient risk stratification performance.

Syntology lines on 3 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.