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Survival Analysis

Survival Analysis is a branch of statistics focused on the study of time-to-event data, usually called survival times. This type of data appears in a wide range of applications such as failure times in mechanical systems, death times of patients in a clinical trial or duration of unemployment in a population. One of the main objectives of Survival Analysis is the estimation of the so-called survival function and the hazard function. If a random variable has density function $f$ and cumulative distribution function $F$, then its survival function $S$ is $1-F$, and its hazard $λ$ is $f/S$.

Source: Gaussian Processes for Survival Analysis

Image: Kvamme et al.

Papers

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Showing 51–100 of 472 papers

TitleStatusHype
A probabilistic estimation of remaining useful life from censored time-to-event dataCode1
Adversarial Time-to-Event ModelingCode1
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide ImagesCode1
Enabling Counterfactual Survival Analysis with Balanced RepresentationsCode1
Adaptive Sampling for Weighted Log-Rank Survival Trees BoostingCode1
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival AnalysisCode1
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural NetworkCode1
CDS -- Causal Inference with Deep Survival Model and Time-varying CovariatesCode1
DeepHazard: neural network for time-varying risksCode1
Deep Cox Mixtures for Survival RegressionCode1
Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality RebalanceCode1
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability GuaranteesCode1
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation NetworksCode1
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and CountingCode1
A Closer Look at Mortality Risk Prediction from ElectrocardiogramsCode1
Interpretable machine learning for time-to-event prediction in medicine and healthcareCode1
Cross-Modal Translation and Alignment for Survival AnalysisCode1
SimHawNet: A Modified Hawkes Process for Temporal Network SimulationCode0
A kernel log-rank test of independence for right-censored dataCode0
Differentially Private Distributed InferenceCode0
Learning Survival Distribution with Implicit Survival FunctionCode0
Adaptive Transformer Modelling of Density Function for Nonparametric Survival AnalysisCode0
Gradient Boosting Survival Tree with Applications in Credit ScoringCode0
GuideR: a guided separate-and-conquer rule learning in classification, regression, and survival settingsCode0
A survey of Transformer applications for histopathological image analysis: New developments and future directionsCode0
A Study on Survival Analysis Methods Using Neural Network to Prevent CancersCode0
A General Machine Learning Framework for Survival AnalysisCode0
A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular InformationCode0
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic informationCode0
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing RisksCode0
A Scalable Discrete-Time Survival Model for Neural NetworksCode0
Adaptive Prototype Learning for Multimodal Cancer Survival AnalysisCode0
A Recurrent Neural Network Survival Model: Predicting Web User Return TimeCode0
Flexible Group Fairness Metrics for Survival AnalysisCode0
AdaMHF: Adaptive Multimodal Hierarchical Fusion for Survival PredictionCode0
A novel gradient-based method for decision trees optimizing arbitrary differential loss functionsCode0
Feature Selection for Survival Analysis with Competing Risks using Deep LearningCode0
Conformalized Survival AnalysisCode0
Conditioning on Time is All You Need for Synthetic Survival Data GenerationCode0
Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival DataCode0
Federated Survival ForestsCode0
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCTCode0
Energy-based survival modelling using harmoniumsCode0
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological ImagesCode0
Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation LearningCode0
Dynamic Survival Analysis for non-Markovian Epidemic ModelsCode0
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measuresCode0
Conformalized Survival Distributions: A Generic Post-Process to Increase CalibrationCode0
An Efficient Training Algorithm for Kernel Survival Support Vector MachinesCode0
Doubly Robust Conformalized Survival Analysis with Right-Censored DataCode0
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