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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 151–200 of 472 papers

TitleStatusHype
Calibration Error for Heterogeneous Treatment EffectsCode0
Dynamical Survival Analysis with Controlled Latent StatesCode0
Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation LearningCode0
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion ProcessesCode0
A Multi-Modal Deep Learning Framework for Pan-Cancer PrognosisCode0
Dynamic Survival Analysis for non-Markovian Epidemic ModelsCode0
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariatesCode0
Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide ImagesCode0
Diffsurv: Differentiable sorting for censored time-to-event dataCode0
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic RegressionCode0
Inverse-Weighted Survival GamesCode0
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal LearningCode0
BoXHED2.0: Scalable boosting of dynamic survival analysisCode0
ICTSurF: Implicit Continuous-Time Survival Functions with Neural NetworksCode0
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival DataCode0
Binacox: automatic cut-point detection in high-dimensional Cox model with applications in geneticsCode0
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive ModellingCode0
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing ValuesCode0
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological ImagesCode0
Nonlinear Semi-Parametric Models for Survival AnalysisCode0
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learningCode0
Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent DemandCode0
ALBRT: Cellular Composition Prediction in Routine Histology ImagesCode0
Heterogeneous Datasets for Federated Survival Analysis SimulationCode0
Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk StratificationCode0
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measuresCode0
Clustering Survival Data using a Mixture of Non-parametric ExpertsCode0
Reinterpreting survival analysis in the universal approximator ageCode0
An Efficient Training Algorithm for Kernel Survival Support Vector MachinesCode0
SAFE: A Neural Survival Analysis Model for Fraud Early DetectionCode0
Deep Recurrent Survival AnalysisCode0
Exploring the Wasserstein metric for survival analysisCode0
Differentially Private Distributed InferenceCode0
GuideR: a guided separate-and-conquer rule learning in classification, regression, and survival settingsCode0
Deep Neural Networks for Survival Analysis Based on a Multi-Task FrameworkCode0
SimHawNet: A Modified Hawkes Process for Temporal Network SimulationCode0
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing RisksCode0
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional DataCode0
Structured Learning in Time-dependent Cox ModelsCode0
Feature Selection for Survival Analysis with Competing Risks using Deep LearningCode0
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic informationCode0
Deep Learning for Patient-Specific Kidney Graft Survival AnalysisCode0
Efficient Training of Probabilistic Neural Networks for Survival AnalysisCode0
Gradient Boosting Survival Tree with Applications in Credit ScoringCode0
Interpretable Machine Learning for Survival AnalysisCode0
Flexible Group Fairness Metrics for Survival AnalysisCode0
MPVNN: Mutated Pathway Visible Neural Network Architecture for Interpretable Prediction of Cancer-specific Survival RiskCode0
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCTCode0
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding—0
Deep Learning Approach for Predicting 30 Day Readmissions after Coronary Artery Bypass Graft Surgery—0
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