Length-of-Stay prediction

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

2 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.

Most implemented papers archive 2025-07-28

21 shown of 21 papers with code (28 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.
• Interpretable machine learning for time-to-event prediction in medicine and healthcare
  17 Mar 2023 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Time-to-event prediction, e.
• 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.
• Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions
  23 Mar 2022 2 repositories listed
  We test our method on two medical datasets of patient records, TADPOLE and MIMIC-III, including imaging and non-imaging features and different prediction tasks.
• MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
  19 Jul 2019 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Robust machine learning relies on access to data that can be used with standardized frameworks in important tasks and the ability to develop models whose performance can be reasonably reproduced.
• 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.
• Multi-Source Conformal Inference Under Distribution Shift
  15 May 2024 1 repository listed
  Recent years have experienced increasing utilization of complex machine learning models across multiple sources of data to inform more generalizable decision-making.
• Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction
  31 Dec 2023 1 repository listed
  This paper uses the MIMIC-IV dataset to examine the fairness and bias in an XGBoost binary classification model predicting the Intensive Care Unit (ICU) length of stay (LOS).
• Client Recruitment for Federated Learning in ICU Length of Stay Prediction
  28 Apr 2023 1 repository listed
  In this work, we address the step prior to the initiation of a federated network for model training, client recruitment.
• Hospitalization Length of Stay Prediction using Patient Event Sequences
  20 Mar 2023 1 repository listed
  Predicting patients hospital length of stay (LOS) is essential for improving resource allocation and supporting decision-making in healthcare organizations.
• Learning from a Biased Sample
  5 Sep 2022 1 repository listed
  Applying the distributionally robust optimization framework, we propose a method for learning a decision rule that minimizes the worst-case risk incurred under a family of test distributions that can generate the…
• Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
  8 Feb 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Outcome prediction from clinical text can prevent doctors from overlooking possible risks and help hospitals to plan capacities.
• X-CAL: Explicit Calibration for Survival Analysis
  13 Jan 2021 1 repository listed
  A survival model's calibration can be measured using, for instance, distributional calibration (D-CALIBRATION) [Haider et al., 2020] which computes the squared difference between the observed and predicted number of…
• Predicting Patient Outcomes with Graph Representation Learning
  11 Jan 2021 1 repository listed
  Recent work on predicting patient outcomes in the Intensive Care Unit (ICU) has focused heavily on the physiological time series data, largely ignoring sparse data such as diagnoses and medications.
• Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit
  18 Jul 2020 1 repository listed
  In this work, we propose a new deep learning model based on the combination of temporal convolution and pointwise (1x1) convolution, to solve the length of stay prediction task on the eICU and MIMIC-IV critical care…
• Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
  29 Jun 2020 1 repository listed Syntology ran 4 of 6 samples · 2 unverified
  The pressure of ever-increasing patient demand and budget restrictions make hospital bed management a daily challenge for clinical staff.
• Interpolation-Prediction Networks for Irregularly Sampled Time Series
  13 Sep 2019 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  The interpolation network allows for information to be shared across multiple dimensions of a multivariate time series during the interpolation stage, while any standard deep learning model can be used for the…
• Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
  2 Aug 2019 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  When training clinical prediction models from electronic health records (EHRs), a key concern should be a model's ability to sustain performance over time when deployed, even as care practices, database systems, and…
• Analysis | OPEN | Published: 17 June 2019 Multitask learning and benchmarking with clinical time series data
  17 Jun 2019 1 repository listed
  Health care is one of the most exciting frontiers in data mining and machine learning.
• Modeling Irregularly Sampled Clinical Time Series
  3 Dec 2018 1 repository listed
  In this paper, we present a new deep learning architecture for addressing this problem based on the use of a semi-parametric interpolation network followed by the application of a prediction network.
• Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets
  23 Oct 2017 1 repository listed
  Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being increasingly used in clinical healthcare…

Syntology lines on 8 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.