Cover Image

MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Zexi, Xie, Tao, Sun, Binbin, Zhang, Xiang, Zhang, Yiqun, Cheung, Yiu-Ming
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DE3S: Dual-Enhanced Soft-Sparse-Shape Learning for Medical Early Time-Series Classification
by: Xie, Tao, et al.
Published: (2025)

SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
by: Yin, Changchang, et al.
Published: (2024)

Early Prediction of Sepsis: Feature-Aligned Transfer Learning
by: Komolafe, Oyindolapo O., et al.
Published: (2025)

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction
by: Yin, Changchang, et al.
Published: (2024)

Improving Early Sepsis Onset Prediction Through Federated Learning
by: Düsing, Christoph, et al.
Published: (2025)

Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
by: Tan, Zexi, et al.
Published: (2025)

TFEC: Multivariate Time-Series Clustering via Temporal-Frequency Enhanced Contrastive Learning
by: Tan, Zexi, et al.
Published: (2026)

Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis
by: Noroozizadeh, Shahriar, et al.
Published: (2025)

Exploring Time-Step Size in Reinforcement Learning for Sepsis Treatment
by: Sun, Yingchuan, et al.
Published: (2025)

Explainable AI For Early Detection Of Sepsis
by: Thakur, Atharva, et al.
Published: (2025)

Beyond Statistical Co-occurrence: Unlocking Intrinsic Semantics for Tabular Data Clustering
by: Zhao, Mingjie, et al.
Published: (2026)

CSRA: Controlled Spectral Residual Augmentation for Robust Sepsis Prediction
by: Guo, Honglin, et al.
Published: (2026)

SepsisAI Orchestrator: A Containerized and Scalable Platform for Deploying AI Models and Real-Time Monitoring in Early Sepsis Detection
by: Ospitia, Santiago, et al.
Published: (2026)

Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
by: Zhang, Yiqun, et al.
Published: (2026)

Explainable AI for Fair Sepsis Mortality Predictive Model
by: Chang, Chia-Hsuan, et al.
Published: (2024)

Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers
by: Zhang, Yiqun, et al.
Published: (2026)

Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models
by: Yang, Zihua, et al.
Published: (2026)

FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction
by: Zhang, Qianru, et al.
Published: (2025)

AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
by: Zhang, Qianru, et al.
Published: (2025)

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates
by: Yu, Chengqing, et al.
Published: (2025)

MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs
by: Chen, Xingsheng, et al.
Published: (2026)

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection
by: Zhong, Zhijie, et al.
Published: (2025)

Learning Order Forest for Qualitative-Attribute Data Clustering
by: Zhao, Mingjie, et al.
Published: (2026)

Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment
by: Tan, Daniel J., et al.
Published: (2026)

Categorical Data Clustering via Value Order Estimated Distance Metric Learning
by: Zhang, Yiqun, et al.
Published: (2024)

TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
by: Gao, Wentao, et al.
Published: (2024)

TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients
by: Dong, Fanglin
Published: (2024)

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
by: Zhao, Mingjie, et al.
Published: (2025)

Repetitive Contrastive Learning Enhances Mamba's Selectivity in Time Series Prediction
by: Yan, Wenbo, et al.
Published: (2025)

Stable CDE Autoencoders with Acuity Regularization for Offline Reinforcement Learning in Sepsis Treatment
by: Gao, Yue
Published: (2025)

Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal Prediction
by: Zhou, Anni, et al.
Published: (2025)

Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
by: Zhang, Xiaoge, et al.
Published: (2023)

Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering
by: Zhang, Yiqun, et al.
Published: (2024)

ChatAD: Reasoning-Enhanced Time-Series Anomaly Detection with Multi-Turn Instruction Evolution
by: Sun, Hui, et al.
Published: (2026)

Temporal Sepsis Modeling: a Relational and Explainable-by-Design Framework
by: Lemaire, Vincent, et al.
Published: (2026)

Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC
by: Gross, Dennis
Published: (2026)

Investigating potential causes of Sepsis with Bayesian network structure learning
by: Petrungaro, Bruno, et al.
Published: (2024)

Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry
by: Kim, Junu, et al.
Published: (2025)

Review of the Predictive Value of Biomarkers in Sepsis Mortality
by: Nai Zhang, et al.
Published: (2024)

Molecular Landscape and Predictive Significance of Programmed Cell Death‐Related Genes in Sepsis
by: Shiqiang Min, et al.
Published: (2026)