Temporal Sepsis Modeling: a Relational and Explainable-by-Design Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Lemaire, Vincent, Meloulli, Nédra, Jaquet, Pierre |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explainable AI for Fair Sepsis Mortality Predictive Model
by: Chang, Chia-Hsuan, et al.
Published: (2024)
by: Chang, Chia-Hsuan, et al.
Published: (2024)
Explainable AI For Early Detection Of Sepsis
by: Thakur, Atharva, et al.
Published: (2025)
by: Thakur, Atharva, et al.
Published: (2025)
Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment
by: Rahman, Aamer Abdul, et al.
Published: (2024)
by: Rahman, Aamer Abdul, et al.
Published: (2024)
SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction
by: Yin, Changchang, et al.
Published: (2024)
by: Yin, Changchang, et al.
Published: (2024)
Explainable Reinforcement Learning via Temporal Policy Decomposition
by: Ruggeri, Franco, et al.
Published: (2025)
by: Ruggeri, Franco, et al.
Published: (2025)
MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction
by: Tan, Zexi, et al.
Published: (2025)
by: Tan, Zexi, et al.
Published: (2025)
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
by: Zeinaty, Christophe El, et al.
Published: (2025)
by: Zeinaty, Christophe El, et al.
Published: (2025)
GRACE: A Language Model Framework for Explainable Inverse Reinforcement Learning
by: Sapora, Silvia, et al.
Published: (2025)
by: Sapora, Silvia, et al.
Published: (2025)
SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration
by: Robani, Mohammad Daffa, et al.
Published: (2025)
by: Robani, Mohammad Daffa, et al.
Published: (2025)
Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control
by: Naagarajan, Ramesh Arvind, et al.
Published: (2026)
by: Naagarajan, Ramesh Arvind, et al.
Published: (2026)
ScoresActivation: A New Activation Function for Model Agnostic Global Explainability by Design
by: Covaci, Emanuel, et al.
Published: (2025)
by: Covaci, Emanuel, et al.
Published: (2025)
Temporal Knowledge-Graph Memory in a Partially Observable Environment
by: Kim, Taewoon, et al.
Published: (2024)
by: Kim, Taewoon, et al.
Published: (2024)
Early Prediction of Sepsis: Feature-Aligned Transfer Learning
by: Komolafe, Oyindolapo O., et al.
Published: (2025)
by: Komolafe, Oyindolapo O., et al.
Published: (2025)
Explainability as statistical inference
by: Senetaire, Hugo Henri Joseph, et al.
Published: (2022)
by: Senetaire, Hugo Henri Joseph, et al.
Published: (2022)
ExECG: An Explainable AI Framework for ECG models
by: Jang, Jong-Hwan, et al.
Published: (2026)
by: Jang, Jong-Hwan, et al.
Published: (2026)
CSRA: Controlled Spectral Residual Augmentation for Robust Sepsis Prediction
by: Guo, Honglin, et al.
Published: (2026)
by: Guo, Honglin, et al.
Published: (2026)
Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC
by: Gross, Dennis
Published: (2026)
by: Gross, Dennis
Published: (2026)
Exploring Time-Step Size in Reinforcement Learning for Sepsis Treatment
by: Sun, Yingchuan, et al.
Published: (2025)
by: Sun, Yingchuan, et al.
Published: (2025)
Improving Early Sepsis Onset Prediction Through Federated Learning
by: Düsing, Christoph, et al.
Published: (2025)
by: Düsing, Christoph, et al.
Published: (2025)
Investigating potential causes of Sepsis with Bayesian network structure learning
by: Petrungaro, Bruno, et al.
Published: (2024)
by: Petrungaro, Bruno, et al.
Published: (2024)
An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer
by: Newaz, Asif, et al.
Published: (2023)
by: Newaz, Asif, et al.
Published: (2023)
Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis
by: Sourov, Md. Emon Akter, et al.
Published: (2025)
by: Sourov, Md. Emon Akter, et al.
Published: (2025)
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer
by: Tamboli, Dipesh, et al.
Published: (2024)
by: Tamboli, Dipesh, et al.
Published: (2024)
Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI
by: Dembinsky, David, et al.
Published: (2025)
by: Dembinsky, David, et al.
Published: (2025)
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability
by: Nezami, Nazanin, et al.
Published: (2024)
by: Nezami, Nazanin, et al.
Published: (2024)
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
by: Zhu, Zhiyu, et al.
Published: (2025)
by: Zhu, Zhiyu, et al.
Published: (2025)
An Explainable AI Framework for Dynamic Resource Management in Vehicular Network Slicing
by: Sun, Haochen, et al.
Published: (2025)
by: Sun, Haochen, et al.
Published: (2025)
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
by: Zheng, Xu, et al.
Published: (2024)
by: Zheng, Xu, et al.
Published: (2024)
ASFL: An Adaptive Model Splitting and Resource Allocation Framework for Split Federated Learning
by: Meng, Chuiyang, et al.
Published: (2026)
by: Meng, Chuiyang, et al.
Published: (2026)
A Mathematical Framework for Temporal Modeling and Counterfactual Policy Simulation of Student Dropout
by: da Silva, Rafael, et al.
Published: (2026)
by: da Silva, Rafael, et al.
Published: (2026)
Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry
by: Kim, Junu, et al.
Published: (2025)
by: Kim, Junu, et al.
Published: (2025)
Explainability is NOT a Game
by: Marques-Silva, Joao, et al.
Published: (2023)
by: Marques-Silva, Joao, et al.
Published: (2023)
Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment
by: Tan, Daniel J., et al.
Published: (2026)
by: Tan, Daniel J., et al.
Published: (2026)
Stable CDE Autoencoders with Acuity Regularization for Offline Reinforcement Learning in Sepsis Treatment
by: Gao, Yue
Published: (2025)
by: Gao, Yue
Published: (2025)
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
by: Zaratiana, Urchade, et al.
Published: (2024)
by: Zaratiana, Urchade, et al.
Published: (2024)
Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs
by: Ding, Zifeng, et al.
Published: (2023)
by: Ding, Zifeng, et al.
Published: (2023)
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning
by: Ding, Zifeng, et al.
Published: (2025)
by: Ding, Zifeng, et al.
Published: (2025)
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
by: Tang, Chen, et al.
Published: (2021)
by: Tang, Chen, et al.
Published: (2021)
Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis
by: Noroozizadeh, Shahriar, et al.
Published: (2025)
by: Noroozizadeh, Shahriar, et al.
Published: (2025)
Can Multitask Learning Enhance Model Explainability?
by: Najjar, Hiba, et al.
Published: (2025)
by: Najjar, Hiba, et al.
Published: (2025)
Similar Items
-
Explainable AI for Fair Sepsis Mortality Predictive Model
by: Chang, Chia-Hsuan, et al.
Published: (2024) -
Explainable AI For Early Detection Of Sepsis
by: Thakur, Atharva, et al.
Published: (2025) -
Empowering Clinicians with Medical Decision Transformers: A Framework for Sepsis Treatment
by: Rahman, Aamer Abdul, et al.
Published: (2024) -
SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction
by: Yin, Changchang, et al.
Published: (2024) -
Explainable Reinforcement Learning via Temporal Policy Decomposition
by: Ruggeri, Franco, et al.
Published: (2025)