Image de couverture de livre

Clinically Interpretable Sepsis Early Warning via LLM-Guided Simulation of Temporal Physiological Dynamics

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Nie, Weizhi, Qu, Zhen, Wang, Weijie, Li, Chunpei, Lu, Ke, Zhou, Bingyang, Yu, Hongzhi
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction
par: Yin, Changchang, et autres
Publié: (2024)

Causal-Transformer with Adaptive Mutation-Locking for Early Prediction of Acute Kidney Injury
par: Nie, Weizhi, et autres
Publié: (2026)

Organ-Agents: Virtual Human Physiology Simulator via LLMs
par: Chang, Rihao, et autres
Publié: (2025)

CSRA: Controlled Spectral Residual Augmentation for Robust Sepsis Prediction
par: Guo, Honglin, et autres
Publié: (2026)

Bridging Graph Structure and Knowledge-Guided Editing for Interpretable Temporal Knowledge Graph Reasoning
par: Fan, Shiqi, et autres
Publié: (2026)

Interpretable Relational Inference with LLM-Guided Symbolic Dynamics Modeling
par: Liang, Xiaoxiao, et autres
Publié: (2026)

Multi-Hazard Early Warning Systems for Agriculture with Featural-Temporal Explanations
par: Zheng, Boyuan, et autres
Publié: (2025)

Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment
par: Tan, Daniel J., et autres
Publié: (2026)

Early Warning Index for Patient Deteriorations in Hospitals
par: Bertsimas, Dimitris, et autres
Publié: (2025)

From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability
par: Hennick, Max, et autres
Publié: (2026)

Interpretable Early Warnings using Machine Learning in an Online Game-experiment
par: Falmagne, Guillaume, et autres
Publié: (2025)

Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning
par: Li, Changyu, et autres
Publié: (2026)

Early-Warning Signals of Grokking via Loss-Landscape Geometry
par: Xu, Yongzhong
Publié: (2026)

Implicit Federated In-context Learning For Task-Specific LLM Fine-Tuning
par: Li, Dongcheng, et autres
Publié: (2025)

Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning
par: Wang, Xueyao, et autres
Publié: (2026)

An Attention-based Framework with Multistation Information for Earthquake Early Warnings
par: Huang, Yu-Ming, et autres
Publié: (2024)

An Early Warning Model for Forced Displacement
par: Henningsen, Geraldine
Publié: (2025)

Explainable AI For Early Detection Of Sepsis
par: Thakur, Atharva, et autres
Publié: (2025)

AI-Driven Early Warning Systems for Student Success: Discovering Static Feature Dominance in Temporal Prediction Models
par: Kaushal, Vaarunay, et autres
Publié: (2025)

LLM Interpretability with Identifiable Temporal-Instantaneous Representation
par: Song, Xiangchen, et autres
Publié: (2025)

Learning Robust Spectral Dynamics for Temporal Domain Generalization
par: Yu, En, et autres
Publié: (2025)

A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension
par: Cheng, Mingyue, et autres
Publié: (2024)

SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
par: Yin, Changchang, et autres
Publié: (2024)

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM
par: Jin, Yihong, et autres
Publié: (2025)

Early Warning Prediction with Automatic Labeling in Epilepsy Patients
par: Zhang, Peng, et autres
Publié: (2023)

MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
par: Tan, Zexi, et autres
Publié: (2025)

HyPV-LEAD: Proactive Early-Warning of Cryptocurrency Anomalies through Data-Driven Structural-Temporal Modeling
par: Park, Minjung, et autres
Publié: (2025)

Early Prediction of Sepsis: Feature-Aligned Transfer Learning
par: Komolafe, Oyindolapo O., et autres
Publié: (2025)

Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment
par: Kumar, Punit, et autres
Publié: (2026)

Guided by Stars: Interpretable Concept Learning Over Time Series via Temporal Logic Semantics
par: Ferfoglia, Irene, et autres
Publié: (2025)

When and What to Ask: AskBench and Rubric-Guided RLVR for LLM Clarification
par: Zhao, Jiale, et autres
Publié: (2026)

Temporal Sepsis Modeling: a Relational and Explainable-by-Design Framework
par: Lemaire, Vincent, et autres
Publié: (2026)

Improving Early Sepsis Onset Prediction Through Federated Learning
par: Düsing, Christoph, et autres
Publié: (2025)

Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal Prediction
par: Zhou, Anni, et autres
Publié: (2025)

Rare Event Early Detection: A Dataset of Sepsis Onset for Critically Ill Trauma Patients
par: Jin, Yin, et autres
Publié: (2026)

Modular Deep-Learning-Based Early Warning System for Deadly Heatwave Prediction
par: Xu, Shangqing, et autres
Publié: (2025)

Gaussian Derivative Change-point Detection for Early Warnings of Industrial System Failures
par: Zhao, Hao, et autres
Publié: (2024)

EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting
par: Jiang, Zekun, et autres
Publié: (2024)

Robust and Reliable Early-Stage Website Fingerprinting Attacks via Spatial-Temporal Distribution Analysis
par: Deng, Xinhao, et autres
Publié: (2024)

Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
par: Liang, Zhenwen, et autres
Publié: (2025)