An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes
Fuente:
arXiv
Guardado en:
| Autor principal: | Chen, George H. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
por: Chen, George H., et al.
Publicado: (2020)
por: Chen, George H., et al.
Publicado: (2020)
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
por: Chen, George H.
Publicado: (2022)
por: Chen, George H.
Publicado: (2022)
Dynamic Survival Analysis for Early Event Prediction
por: Yèche, Hugo, et al.
Publicado: (2024)
por: Yèche, Hugo, et al.
Publicado: (2024)
CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
por: Shahin, Ahmed H., et al.
Publicado: (2023)
por: Shahin, Ahmed H., et al.
Publicado: (2023)
Fairness in Survival Analysis with Distributionally Robust Optimization
por: Hu, Shu, et al.
Publicado: (2024)
por: Hu, Shu, et al.
Publicado: (2024)
Deep Semi-Supervised Survival Analysis for Predicting Cancer Prognosis
por: Sun, Anchen, et al.
Publicado: (2026)
por: Sun, Anchen, et al.
Publicado: (2026)
Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction
por: Nguyen, Ha-Anh Hoang, et al.
Publicado: (2026)
por: Nguyen, Ha-Anh Hoang, et al.
Publicado: (2026)
The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis
por: Noroozizadeh, Shahriar, et al.
Publicado: (2025)
por: Noroozizadeh, Shahriar, et al.
Publicado: (2025)
Deep State-Space Generative Model For Correlated Time-to-Event Predictions
por: Xue, Yuan, et al.
Publicado: (2024)
por: Xue, Yuan, et al.
Publicado: (2024)
CoxNTF: A New Approach for Joint Clustering and Prediction in Survival Analysis
por: Fogel, Paul, et al.
Publicado: (2025)
por: Fogel, Paul, et al.
Publicado: (2025)
Generative Discrete Event Process Simulation for Hidden Markov Models to Predict Competitor Time-to-Market
por: Santhi, Nandakishore, et al.
Publicado: (2024)
por: Santhi, Nandakishore, et al.
Publicado: (2024)
Variational Deep Survival Machines: Survival Regression with Censored Outcomes
por: Wang, Qinxin, et al.
Publicado: (2024)
por: Wang, Qinxin, et al.
Publicado: (2024)
Ensemble Machine Learning and Statistical Procedures for Dynamic Predictions of Time-to-Event Outcomes
por: van Gerwen, Nina, et al.
Publicado: (2026)
por: van Gerwen, Nina, et al.
Publicado: (2026)
SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis
por: Kirpichenko, Stanislav R., et al.
Publicado: (2026)
por: Kirpichenko, Stanislav R., et al.
Publicado: (2026)
Deep Learning for Survival Analysis: A Review
por: Wiegrebe, Simon, et al.
Publicado: (2023)
por: Wiegrebe, Simon, et al.
Publicado: (2023)
Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction
por: Yue, Hailin, et al.
Publicado: (2025)
por: Yue, Hailin, et al.
Publicado: (2025)
Deep Learning-Based Survival Analysis with Copula-Based Activation Functions for Multivariate Response Prediction
por: Kim, Jong-Min, et al.
Publicado: (2025)
por: Kim, Jong-Min, et al.
Publicado: (2025)
Interpretable Prediction and Feature Selection for Survival Analysis
por: Van Ness, Mike, et al.
Publicado: (2024)
por: Van Ness, Mike, et al.
Publicado: (2024)
Deep End-to-End Survival Analysis with Temporal Consistency
por: Vieyra, Mariana Vargas, et al.
Publicado: (2024)
por: Vieyra, Mariana Vargas, et al.
Publicado: (2024)
Deep Continuous-Time State-Space Models for Marked Event Sequences
por: Chang, Yuxin, et al.
Publicado: (2024)
por: Chang, Yuxin, et al.
Publicado: (2024)
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
por: Frauen, Dennis, et al.
Publicado: (2025)
por: Frauen, Dennis, et al.
Publicado: (2025)
Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series
por: Liu, Mingzhu, et al.
Publicado: (2024)
por: Liu, Mingzhu, et al.
Publicado: (2024)
SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
por: Noroozizadeh, Shahriar, et al.
Publicado: (2026)
por: Noroozizadeh, Shahriar, et al.
Publicado: (2026)
Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation
por: Gao, Penglei, et al.
Publicado: (2025)
por: Gao, Penglei, et al.
Publicado: (2025)
Adaptive Experimentation for Censored Survival Outcomes
por: Wang, Yuxin, et al.
Publicado: (2026)
por: Wang, Yuxin, et al.
Publicado: (2026)
Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis
por: Gharahighehi, Alireza, et al.
Publicado: (2025)
por: Gharahighehi, Alireza, et al.
Publicado: (2025)
MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation
por: Lillelund, Christian Marius, et al.
Publicado: (2024)
por: Lillelund, Christian Marius, et al.
Publicado: (2024)
TorchSurv: A Lightweight Package for Deep Survival Analysis
por: Monod, Mélodie, et al.
Publicado: (2024)
por: Monod, Mélodie, et al.
Publicado: (2024)
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
por: Monod, Mélodie, et al.
Publicado: (2025)
por: Monod, Mélodie, et al.
Publicado: (2025)
Deep Survival Analysis of Longitudinal EHR Data for Joint Prediction of Hospitalization and Death in COPD Patients
por: Manzini, Enrico, et al.
Publicado: (2025)
por: Manzini, Enrico, et al.
Publicado: (2025)
Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture
por: Jeanselme, Vincent, et al.
Publicado: (2025)
por: Jeanselme, Vincent, et al.
Publicado: (2025)
Predicting Breast Cancer Survival: A Survival Analysis Approach Using Log Odds and Clinical Variables
por: Alamu, Opeyemi Sheu, et al.
Publicado: (2024)
por: Alamu, Opeyemi Sheu, et al.
Publicado: (2024)
xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion
por: Li, Quan, et al.
Publicado: (2025)
por: Li, Quan, et al.
Publicado: (2025)
Gradient-based Explanations for Deep Learning Survival Models
por: Langbein, Sophie Hanna, et al.
Publicado: (2025)
por: Langbein, Sophie Hanna, et al.
Publicado: (2025)
Predicting the Lifespan of Industrial Printheads with Survival Analysis
por: Parii, Dan, et al.
Publicado: (2025)
por: Parii, Dan, et al.
Publicado: (2025)
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
por: Lee, Geon, et al.
Publicado: (2025)
por: Lee, Geon, et al.
Publicado: (2025)
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
por: Zhang, Weijia, et al.
Publicado: (2023)
por: Zhang, Weijia, et al.
Publicado: (2023)
ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression
por: Ketenci, Mert, et al.
Publicado: (2025)
por: Ketenci, Mert, et al.
Publicado: (2025)
tdCoxSNN: Time-Dependent Cox Survival Neural Network for Continuous-time Dynamic Prediction
por: Zeng, Lang, et al.
Publicado: (2023)
por: Zeng, Lang, et al.
Publicado: (2023)
Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index
por: Fernandez, Camila, et al.
Publicado: (2024)
por: Fernandez, Camila, et al.
Publicado: (2024)
Ejemplares similares
-
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
por: Chen, George H., et al.
Publicado: (2020) -
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
por: Chen, George H.
Publicado: (2022) -
Dynamic Survival Analysis for Early Event Prediction
por: Yèche, Hugo, et al.
Publicado: (2024) -
CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
por: Shahin, Ahmed H., et al.
Publicado: (2023) -
Fairness in Survival Analysis with Distributionally Robust Optimization
por: Hu, Shu, et al.
Publicado: (2024)