Survival Analysis

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

4 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

30 shown of 197 papers with code (472 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 Cox Mixtures for Survival Regression
  16 Jan 2021 5 repositories listed
  Survival analysis is a challenging variation of regression modeling because of the presence of censoring, where the outcome measurement is only partially known, due to, for example, loss to follow up.
• 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.
• Adversarial Time-to-Event Modeling
  9 Apr 2018 4 repositories listed
  Modern health data science applications leverage abundant molecular and electronic health data, providing opportunities for machine learning to build statistical models to support clinical practice.
• 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…
• Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction
  14 Jun 2023 3 repositories listed Syntology ran 10 of 18 samples · 8 unverified · 18 pointer-only (licence)
  Survival prediction is a complicated ordinal regression task that aims to predict the ranking risk of death, which generally benefits from the integration of histology and genomic data.
• 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.
• Neural interval-censored survival regression with feature selection
  14 Jun 2022 3 repositories listed
  Survival analysis is a fundamental area of focus in biomedical research, particularly in the context of personalized medicine.
• SAFE: A Neural Survival Analysis Model for Fraud Early Detection
  12 Sep 2018 3 repositories listed
  However, there is usually a gap between the time that a user commits a fraudulent action and the time that the user is suspended by the platform.
• 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…
• HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data
  15 Nov 2023 2 repositories listed Syntology ran 6 of 11 samples · 5 unverified
  Technological advances in medical data collection, such as high-throughput genomic sequencing and digital high-resolution histopathology, have contributed to the rising requirement for multimodal biomedical modelling,…
• CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
  7 Sep 2023 2 repositories listed
  We demonstrate that our approach forms a consistent estimator for the event model parameters, even in the absence of uncensored data.
• Discrete-time Competing-Risks Regression with or without Penalization
  2 Mar 2023 2 repositories listed
  Additionally, we showcase the utility of the proposed procedure by estimating a survival model for the length of stay of patients hospitalized in the intensive care unit, considering three competing events: discharge to…
• Heterogeneous Datasets for Federated Survival Analysis Simulation
  28 Jan 2023 2 repositories listed
  However, the data needed to train survival models are often distributed, incomplete, censored, and confidential.
• FastCPH: Efficient Survival Analysis for Neural Networks
  21 Aug 2022 2 repositories listed
  The Cox proportional hazards model is a canonical method in survival analysis for prediction of the life expectancy of a patient given clinical or genetic covariates -- it is a linear model in its original form.
• PyDTS: A Python Package for Discrete-Time Survival (Regularized) Regression with Competing Risks
  12 Apr 2022 2 repositories listed
  Most methods and software packages for survival regression analysis assume that time is measured on a continuous scale.
• Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data
  21 Mar 2022 2 repositories listed
  To this end, we propose a probabilistic model that captures the dependencies between the observed clinical variables and imputes missing ones.
• Conformalized Survival Analysis
  17 Mar 2021 2 repositories listed
  Existing survival analysis techniques heavily rely on strong modelling assumptions and are, therefore, prone to model misspecification errors.
• The Brier Score under Administrative Censoring: Problems and Solutions
  18 Dec 2019 2 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  This administrative Brier score does not require estimation of the censoring distribution and is valid even if the censoring times can be identified from the covariates.
• Deep Landscape Forecasting for Real-time Bidding Advertising
  7 May 2019 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  The problem is formulated as to forecast the probability distribution of market price for each ad auction.
• A Scalable Discrete-Time Survival Model for Neural Networks
  2 May 2018 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  It is important for predictive models to be able to use survival data, where each patient has a known follow-up time and event/censoring indicator.
• DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  26 Apr 2018 2 repositories listed
  A fundamental problem is to understand the relationship between the covariates and the (distribution of) survival times (times-to-event).
• Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework
  17 Jan 2018 2 repositories listed
  Survival analysis/time-to-event models are extremely useful as they can help companies predict when a customer will buy a product, churn or default on a loan, and therefore help them improve their ROI.
• Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling
  10 Jul 2017 2 repositories listed
  Tick is a statistical learning library for Python~3, with a particular emphasis on time-dependent models, such as point processes, and tools for generalized linear models and survival analysis.
• Deep Learning for Patient-Specific Kidney Graft Survival Analysis
  29 May 2017 2 repositories listed
  An accurate model of patient-specific kidney graft survival distributions can help to improve shared-decision making in the treatment and care of patients.
• An Efficient Training Algorithm for Kernel Survival Support Vector Machines
  21 Nov 2016 2 repositories listed
  Survival analysis is a fundamental tool in medical research to identify predictors of adverse events and develop systems for clinical decision support.
• Survival Analysis as Imprecise Classification with Trainable Kernels
  11 Jun 2025 1 repository listed
  The second idea is to employ the kernel-based Nadaraya-Watson regression with trainable attention weights for computing the imprecise probability distribution over time intervals for the entire dataset.
• SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis
  20 May 2025 1 repository listed
  To bridge this gap, in this work, we introduce SurvUnc, a novel meta-model based framework for post-hoc uncertainty quantification for survival models.
• Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
  17 May 2025 1 repository listed
  In this paper, we propose a multimodal survival prediction framework that incorporates hypergraph learning to effectively capture both contextual and hierarchical details from pathology images.
• Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation
  26 Apr 2025 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Cross-resolution alignment using a multimodal encoder enhances the model's ability to capture context from multiple resolutions in histology images.
• Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis
  24 Apr 2025 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  Survival analysis often relies on Cox models, assuming both linearity and proportional hazards (PH).

Syntology lines on 11 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.