Time-to-Event Prediction

Benchmarks archive 2025-07-28

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Libraries

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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

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Most implemented papers archive 2025-07-28

15 shown of 15 papers with code (27 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.

• Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
  2 Mar 2020 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  We describe a new approach to estimating relative risks in time-to-event prediction problems with censored data in a fully parametric manner.
• 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.
• auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
  15 Apr 2022 3 repositories listed
  Applications of machine learning in healthcare often require working with time-to-event prediction tasks including prognostication of an adverse event, re-hospitalization or death.
• An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes
  1 Oct 2024 2 repositories listed Syntology ran 20 of 24 samples · 4 unverified · 24 pointer-only (licence)
  We further delve into two extensions of the basic time-to-event prediction setup: predicting which of several critical events will happen first along with the time until this earliest event happens (the competing risks…
• Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
  1 Aug 2020 2 repositories listed Syntology ran 1 of 10 samples · 9 unverified
  The derived uncertainty-based ranking loss is found to significantly boost model performance by improving the quality of relational features.
• Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank Regression
  16 Jul 2023 1 repository listed
  The proposed method is a semiparametric approach to AFT modeling that does not impose any distributional assumptions on the survival time distribution.
• Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
  9 Jun 2023 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Deep-learning techniques, particularly the transformer model, have shown great potential in enhancing the prediction performance of longitudinal health records.
• Using Geographic Location-based Public Health Features in Survival Analysis
  16 Apr 2023 1 repository listed
  Time elapsed till an event of interest is often modeled using the survival analysis methodology, which estimates a survival score based on the input features.
• A copula-based boosting model for time-to-event prediction with dependent censoring
  10 Oct 2022 1 repository listed
  A characteristic feature of time-to-event data analysis is possible censoring of the event time.
• SurvSHAP(t): Time-dependent explanations of machine learning survival models
  23 Aug 2022 1 repository listed
  Experiments on synthetic and medical data confirm that SurvSHAP(t) can detect variables with a time-dependent effect, and its aggregation is a better determinant of the importance of variables for a prediction than…
• Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
  26 Jul 2021 1 repository listed
  Recurrent neural network based solutions are increasingly being used in the analysis of longitudinal Electronic Health Record data.
• A Deep Variational Approach to Clustering Survival Data
  10 Jun 2021 1 repository listed
  In this work, we study the problem of clustering survival data - a challenging and so far under-explored task.
• Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
  15 Jul 2020 1 repository listed
  We present a neural network framework for learning a survival model to predict a time-to-event outcome while simultaneously learning a topic model that reveals feature relationships.
• Variational Learning of Individual Survival Distributions
  9 Mar 2020 1 repository listed
  The abundance of modern health data provides many opportunities for the use of machine learning techniques to build better statistical models to improve clinical decision making.
• Time-to-Event Prediction with Neural Networks and Cox Regression
  1 Jul 2019 1 repository listed
  New methods for time-to-event prediction are proposed by extending the Cox proportional hazards model with neural networks.

Syntology lines on 5 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.