Cover Image

Dynamic Survival Analysis for Early Event Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yèche, Hugo, Burger, Manuel, Veshchezerova, Dinara, Rätsch, Gunnar
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
by: Kuznetsova, Rita, et al.
Published: (2023)

Multi-modal Graph Learning over UMLS Knowledge Graphs
by: Burger, Manuel, et al.
Published: (2023)

Improving Neural Additive Models with Bayesian Principles
by: Bouchiat, Kouroche, et al.
Published: (2023)

Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
by: Baldenweg, Fabian, et al.
Published: (2024)

Language Model Training Paradigms for Clinical Feature Embeddings
by: Hu, Yurong, et al.
Published: (2023)

Domain Generalization and Adaptation in Intensive Care with Anchor Regression
by: Londschien, Malte, et al.
Published: (2025)

Towards Foundation Models for Critical Care Time Series
by: Burger, Manuel, et al.
Published: (2024)

Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information
by: Sergeev, Fedor, et al.
Published: (2024)

Preference Elicitation for Offline Reinforcement Learning
by: Pace, Alizée, et al.
Published: (2024)

Uncertainty-Penalized Direct Preference Optimization
by: Houliston, Sam, et al.
Published: (2024)

Data-Driven Discovery of Feature Groups in Clinical Time Series
by: Sergeev, Fedor, et al.
Published: (2025)

An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes
by: Chen, George H.
Published: (2024)

Distribution-Free Process Monitoring with Conformal Prediction
by: Burger, Christopher
Published: (2025)

Interpretable Prediction and Feature Selection for Survival Analysis
by: Van Ness, Mike, et al.
Published: (2024)

Learning to Predict, Discover, and Reason in High-Dimensional Event Sequences
by: Math, Hugo
Published: (2026)

Dynamical Survival Analysis with Controlled Latent States
by: Bleistein, Linus, et al.
Published: (2024)

MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation
by: Lillelund, Christian Marius, et al.
Published: (2024)

Predicting Breast Cancer Survival: A Survival Analysis Approach Using Log Odds and Clinical Variables
by: Alamu, Opeyemi Sheu, et al.
Published: (2024)

Deep Semi-Supervised Survival Analysis for Predicting Cancer Prognosis
by: Sun, Anchen, et al.
Published: (2026)

Predicting the Lifespan of Industrial Printheads with Survival Analysis
by: Parii, Dan, et al.
Published: (2025)

Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction
by: Yue, Hailin, et al.
Published: (2025)

Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction
by: Nguyen, Ha-Anh Hoang, et al.
Published: (2026)

Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms
by: Chen, Boqi, et al.
Published: (2024)

CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
by: Shahin, Ahmed H., et al.
Published: (2023)

Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate
by: Chen, George H., et al.
Published: (2020)

TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis
by: Abraich, Ayoub
Published: (2025)

SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference
by: Qi, Shi-ang, et al.
Published: (2026)

CoxNTF: A New Approach for Joint Clustering and Prediction in Survival Analysis
by: Fogel, Paul, et al.
Published: (2025)

Spectral Survival Analysis
by: Shi, Chengzhi, et al.
Published: (2025)

Survival Meets Classification: A Novel Framework for Early Risk Prediction Models of Chronic Diseases
by: Khan, Shaheer Ahmad, et al.
Published: (2026)

Reduction Techniques for Survival Analysis
by: Piller, Johannes, et al.
Published: (2025)

Finance-Grounded Optimization For Algorithmic Trading
by: Khubiev, Kasymkhan, et al.
Published: (2025)

Deep Learning-Based Survival Analysis with Copula-Based Activation Functions for Multivariate Response Prediction
by: Kim, Jong-Min, et al.
Published: (2025)

Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach
by: Math, Hugo, et al.
Published: (2024)

tdCoxSNN: Time-Dependent Cox Survival Neural Network for Continuous-time Dynamic Prediction
by: Zeng, Lang, et al.
Published: (2023)

Survival In-Context: Amortized Bayesian Survival Analysis via Prior-Fitted Networks
by: Seletkov, Dmitrii, et al.
Published: (2026)

Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
by: Chen, George H.
Published: (2022)

Machine Learning for Static and Single-Event Dynamic Complex Network Analysis
by: Nakis, Nikolaos
Published: (2025)

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
by: Frauen, Dennis, et al.
Published: (2025)

KANFormer for Predicting Fill Probabilities via Survival Analysis in Limit Order Books
by: Zhong, Jinfeng, et al.
Published: (2025)