SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 472 papers

TitleStatusHype
Dynamical Survival Analysis with Controlled Latent StatesCode0
High-Dimensional False Discovery Rate Control for Dependent Variables—0
Optimal Sparse Survival TreesCode0
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance—0
Survival Analysis of Young Triple-Negative Breast Cancer Patients—0
Optimal Survival Trees: A Dynamic Programming ApproachCode1
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival AnalysisCode0
Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological ImagesCode1
Robust Survival Analysis with Adversarial Regularization—0
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability GuaranteesCode1
SAVAE: Leveraging the variational Bayes autoencoder for survival analysisCode0
MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health recordsCode0
Composite Survival Analysis: Learning with Auxiliary Aggregated Baselines and Survival Scores—0
ICTSurF: Implicit Continuous-Time Survival Functions with Neural NetworksCode0
Cancer Subtype Identification through Integrating Inter and Intra Dataset Relationships in Multi-Omics DataCode0
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic informationCode0
SurvTimeSurvival: Survival Analysis On The Patient With Multiple Visits/RecordsCode0
HEALNet: Multimodal Fusion for Heterogeneous Biomedical DataCode1
Clinical Characteristics and Laboratory Biomarkers in ICU-admitted Septic Patients with and without Bacteremia—0
Likelihood Ratio Confidence Sets for Sequential Decision Making—0
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling—0
Higher Mediterranean diet score is associated with longer time between relapses in Australian females with multiple sclerosis—0
DySurv: dynamic deep learning model for survival analysis with conditional variational inference—0
Interpretable Survival Analysis for Heart Failure Risk Prediction—0
Improving Event Time Prediction by Learning to Partition the Event Time Space—0
Sensitivity of Survival Analysis MetricsCode1
A Study on Survival Analysis Methods Using Neural Network to Prevent CancersCode0
Can-SAVE: Mass Cancer Risk Prediction via Survival Analysis Variables and EHR—0
A survey of Transformer applications for histopathological image analysis: New developments and future directionsCode0
Predicting environment effects on breast cancer by implementing machine learning—0
NSOTree: Neural Survival Oblique TreeCode0
Cross-Modal Translation and Alignment for Survival AnalysisCode1
Predicting Survival Time of Ball Bearings in the Presence of CensoringCode0
CenTime: Event-Conditional Modelling of Censoring in Survival AnalysisCode1
Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records—0
Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing RisksCode0
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics—0
Reinterpreting survival analysis in the universal approximator ageCode0
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing ValuesCode0
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks—0
Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank RegressionCode0
Interpretable ML for High-Frequency Execution—0
Exploring novel prognostic biomarkers and biologic processes involved in NASH, cirrhosis and HCC based on survival analysis using systems biology approach—0
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding—0
Cross-Validation Is All You Need: A Statistical Approach To Label Noise EstimationCode0
Structured Learning in Time-dependent Cox ModelsCode0
Copula-Based Deep Survival Models for Dependent Censoring—0
Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort—0
Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival PredictionCode1
Transformer-based Time-to-Event Prediction for Chronic Kidney Disease DeteriorationCode0
Show:102550
← PrevPage 4 of 10Next →

No leaderboard results yet.