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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 251–300 of 472 papers

TitleStatusHype
Uncovering life-course patterns with causal discovery and survival analysis—0
Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes—0
Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence—0
User Engagement in Mobile Health Applications—0
Using ontology embeddings for structural inductive bias in gene expression data analysis—0
Variable selection for nonlinear Cox regression model via deep learning—0
Variable Selection with Random Survival Forest and Bayesian Additive Regression Tree for Survival Data—0
Variational Bayes survival analysis for unemployment modelling—0
Vision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging—0
Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data—0
Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy—0
Comparing ImageNet Pre-training with Digital Pathology Foundation Models for Whole Slide Image-Based Survival Analysis—0
Will Large Language Models Transform Clinical Prediction?—0
WSISA: Making Survival Prediction From Whole Slide Histopathological Images—0
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis—0
Deep Survival Analysis—0
Deep survival analysis with longitudinal X-rays for COVID-19—0
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction—0
Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population—0
Differentially Private Regression for Discrete-Time Survival Analysis—0
Discrete Stochastic Models in Continuous Time for Ecology—0
Distributionally Robust Learning in Survival Analysis—0
Dynamic prediction of time to event with survival curves—0
Dynamic Survival Analysis for Early Event Prediction—0
Dynamic Survival Transformers for Causal Inference with Electronic Health Records—0
DySurv: dynamic deep learning model for survival analysis with conditional variational inference—0
Early ICU Mortality Prediction and Survival Analysis for Respiratory Failure—0
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes—0
End-Stage Liver Disease Comorbidities in Patients Awaiting Transplantation: Identification and Impact on Liver Transplant Survival—0
End-to-end Multi-source Visual Prompt Tuning for Survival Analysis in Whole Slide Images—0
Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets—0
Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis—0
Enhancing External Validity of Experiments with Ongoing Sampling—0
Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare—0
Ensemble Survival Analysis for Preclinical Cognitive Decline Prediction in Alzheimer's Disease Using Longitudinal Biomarkers—0
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, Featuring Prognostic Stratification Boosting—0
Estimating and interpreting secondary attack risk: Binomial considered harmful—0
Estimating Heterogenous Treatment Effects for Survival Data with Doubly Doubly Robust Estimator—0
Estimation of conditional mixture Weibull distribution with right-censored data using neural network for time-to-event analysis—0
Estimation of Time-to-Total Knee Replacement Surgery—0
EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers—0
Evidential time-to-event prediction with calibrated uncertainty quantification—0
Explainable AI for survival analysis: a median-SHAP approach—0
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review—0
Explainable Survival Analysis with Uncertainty using Convolution-Involved Vision Transformer—0
Exploring novel prognostic biomarkers and biologic processes involved in NASH, cirrhosis and HCC based on survival analysis using systems biology approach—0
Extending the Neural Additive Model for Survival Analysis with EHR Data—0
Factor-Augmented Regularized Model for Hazard Regression—0
Fairness in Survival Analysis: A Novel Conditional Mutual Information Augmentation Approach—0
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models—0
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