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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 101–150 of 472 papers

TitleStatusHype
Contextual Explanation NetworksCode0
Continuous and Discrete-Time Survival Prediction with Neural NetworksCode0
An Efficient Training Algorithm for Kernel Survival Support Vector MachinesCode0
Learning Genomic Representations to Predict Clinical Outcomes in CancerCode0
Clustering Survival Data using a Mixture of Non-parametric ExpertsCode0
Copula Entropy based Variable Selection for Survival AnalysisCode0
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion ProcessesCode0
Learning to rank for censored survival dataCode0
MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health recordsCode0
Cross-Validation Is All You Need: A Statistical Approach To Label Noise EstimationCode0
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learningCode0
Inverse-Weighted Survival GamesCode0
Interpretable Machine Learning for Survival AnalysisCode0
Deep Clustering Survival Machines with Interpretable Expert DistributionsCode0
A Study on Survival Analysis Methods Using Neural Network to Prevent CancersCode0
A General Machine Learning Framework for Survival AnalysisCode0
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing ValuesCode0
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic RegressionCode0
Adaptive Transformer Modelling of Density Function for Nonparametric Survival AnalysisCode0
NSOTree: Neural Survival Oblique TreeCode0
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal LearningCode0
DeepHit: A Deep Learning Approach to Survival Analysis with Competing RisksCode0
Censor Dependent Variational InferenceCode0
Deep Landscape Forecasting for Real-time Bidding AdvertisingCode0
ICTSurF: Implicit Continuous-Time Survival Functions with Neural NetworksCode0
Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk StratificationCode0
Case-Base Neural Networks: survival analysis with time-varying, higher-order interactionsCode0
Heterogeneous Datasets for Federated Survival Analysis SimulationCode0
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing RisksCode0
GuideR: a guided separate-and-conquer rule learning in classification, regression, and survival settingsCode0
Cancer Subtype Identification through Integrating Inter and Intra Dataset Relationships in Multi-Omics DataCode0
Calibration Error for Heterogeneous Treatment EffectsCode0
A Multi-Modal Deep Learning Framework for Pan-Cancer PrognosisCode0
Gradient Boosting Survival Tree with Applications in Credit ScoringCode0
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic informationCode0
SimHawNet: A Modified Hawkes Process for Temporal Network SimulationCode0
Differentially Private Distributed InferenceCode0
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive ModellingCode0
Feature Selection for Survival Analysis with Competing Risks using Deep LearningCode0
BoXHED2.0: Scalable boosting of dynamic survival analysisCode0
Federated Survival ForestsCode0
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
Diffsurv: Differentiable sorting for censored time-to-event dataCode0
Flexible Group Fairness Metrics for Survival AnalysisCode0
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariatesCode0
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without DemographicsCode0
Exploring the Wasserstein metric for survival analysisCode0
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive ModelsCode0
ALBRT: Cellular Composition Prediction in Routine Histology ImagesCode0
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