Predicting Patient Outcomes

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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (21 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.

• DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
  2 Jun 2016 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We introduce DeepSurv, a Cox proportional hazards deep neural network and state-of-the-art survival method for modeling interactions between a patient's covariates and treatment effectiveness in order to provide…
• Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
  2 Oct 2019 2 repositories listed
  We present a proxy dataset of vital signs with class labels indicating patient transitions from the ward to intensive care units called Ward2ICU.
• Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
  12 May 2025 1 repository listed
  Medical research, particularly in predicting patient outcomes, heavily relies on medical time series data extracted from Electronic Health Records (EHR), which provide extensive information on patient histories.
• Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology
  13 May 2024 1 repository listed
  We trained SeNMo for the task of overall survival of patients using pan-cancer multi-omics data involving 33 cancer sites from the GDC.
• Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples
  27 Jul 2023 1 repository listed
  Human tissue and its constituent cells form a microenvironment that is fundamentally three-dimensional (3D).
• 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…
• Attentive State-Space Modeling of Disease Progression
  1 Dec 2019 1 repository listed
  Models of disease progression are instrumental for predicting patient outcomes and understanding disease dynamics.

Syntology lines on 1 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.