A Kalman Filter Based Framework for Monitoring the Performance of In-Hospital Mortality Prediction Models Over Time
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Jiacheng, Kirkland, Lisa, Srivastava, Jaideep |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction
by: Liu, Jiacheng, et al.
Published: (2024)
by: Liu, Jiacheng, et al.
Published: (2024)
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries
by: Battula, Harshavardhan, et al.
Published: (2024)
by: Battula, Harshavardhan, et al.
Published: (2024)
Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning
by: Wang, Hu, et al.
Published: (2025)
by: Wang, Hu, et al.
Published: (2025)
Topological Kalman Filtering on Cell Complexes
by: Liu, Chengen, et al.
Published: (2026)
by: Liu, Chengen, et al.
Published: (2026)
The Constraint Tax: Measuring Validity-Correctness Tradeoffs in Structured Outputs for Small Language Models
by: Ray, Jaideep
Published: (2026)
by: Ray, Jaideep
Published: (2026)
Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
Computation-Aware Kalman Filtering and Smoothing
by: Pförtner, Marvin, et al.
Published: (2024)
by: Pförtner, Marvin, et al.
Published: (2024)
AI-Aided Kalman Filters
by: Shlezinger, Nir, et al.
Published: (2024)
by: Shlezinger, Nir, et al.
Published: (2024)
Pathspace Kalman Filters with Dynamic Process Uncertainty for Analyzing Time-course Data
by: Agrahar, Chaitra, et al.
Published: (2024)
by: Agrahar, Chaitra, et al.
Published: (2024)
Can a Transformer Represent a Kalman Filter?
by: Goel, Gautam, et al.
Published: (2023)
by: Goel, Gautam, et al.
Published: (2023)
Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics
by: Huml, JR, et al.
Published: (2026)
by: Huml, JR, et al.
Published: (2026)
GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning
by: Sabbaqi, Mohammad, et al.
Published: (2025)
by: Sabbaqi, Mohammad, et al.
Published: (2025)
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality
by: Shumilov, Arseniy, et al.
Published: (2024)
by: Shumilov, Arseniy, et al.
Published: (2024)
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions
by: Schmidt, Jonathan, et al.
Published: (2023)
by: Schmidt, Jonathan, et al.
Published: (2023)
[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models
by: Casco-Rodriguez, Josue, et al.
Published: (2024)
by: Casco-Rodriguez, Josue, et al.
Published: (2024)
Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
by: Xiong, Xi, et al.
Published: (2019)
by: Xiong, Xi, et al.
Published: (2019)
Kalman Filter Aided Federated Koopman Learning
by: Chen, Yutao, et al.
Published: (2025)
by: Chen, Yutao, et al.
Published: (2025)
Outlier-Insensitive Kalman Filtering: Theory and Applications
by: Truzman, Shunit, et al.
Published: (2023)
by: Truzman, Shunit, et al.
Published: (2023)
Kalman Linear Attention: Parallel Bayesian Filtering For Efficient Language Modelling and State Tracking
by: Shaj, Vaisakh, et al.
Published: (2026)
by: Shaj, Vaisakh, et al.
Published: (2026)
Inverse Unscented Kalman Filter
by: Singh, Himali, et al.
Published: (2023)
by: Singh, Himali, et al.
Published: (2023)
Outlier-robust Kalman Filtering through Generalised Bayes
by: Duran-Martin, Gerardo, et al.
Published: (2024)
by: Duran-Martin, Gerardo, et al.
Published: (2024)
Differentiable Adaptive Kalman Filtering via Optimal Transport
by: He, Yangguang, et al.
Published: (2025)
by: He, Yangguang, et al.
Published: (2025)
Kalman Filter for Online Classification of Non-Stationary Data
by: Titsias, Michalis K., et al.
Published: (2023)
by: Titsias, Michalis K., et al.
Published: (2023)
Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation
by: Lee, Seokju, et al.
Published: (2026)
by: Lee, Seokju, et al.
Published: (2026)
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
by: Abdi, Hossein, et al.
Published: (2025)
by: Abdi, Hossein, et al.
Published: (2025)
DeepFilter: A Transformer-style Framework for Accurate and Efficient Process Monitoring
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
by: Mortada, Hassan, et al.
Published: (2025)
by: Mortada, Hassan, et al.
Published: (2025)
PARIS: Personalized Activity Recommendation for Improving Sleep Quality
by: Singh, Meghna, et al.
Published: (2021)
by: Singh, Meghna, et al.
Published: (2021)
Taming the Memory Beast: Strategies for Reliable ML Training on Kubernetes
by: Ray, Jaideep
Published: (2024)
by: Ray, Jaideep
Published: (2024)
Neural Aided Kalman Filtering for UAV State Estimation in Degraded Sensing Environments
by: Gupta, Akhil, et al.
Published: (2026)
by: Gupta, Akhil, et al.
Published: (2026)
Pose Tracking with a Foundation Pose Model and an Ensemble Directional Kalman Filter
by: Lu, Tianlu, et al.
Published: (2026)
by: Lu, Tianlu, et al.
Published: (2026)
Linking Actor Behavior to Process Performance Over Time
by: Leribaux, Aurélie, et al.
Published: (2025)
by: Leribaux, Aurélie, et al.
Published: (2025)
The Kalman Evolve: Closing the Gap in Kalman Filtering via Interpretable Algorithm Discovery
by: Saketos, Vasileios, et al.
Published: (2026)
by: Saketos, Vasileios, et al.
Published: (2026)
Confidence-based Estimators for Predictive Performance in Model Monitoring
by: Kivimäki, Juhani, et al.
Published: (2024)
by: Kivimäki, Juhani, et al.
Published: (2024)
Improving Fairness of Large Language Model-Based ICU Mortality Prediction via Case-Based Prompting
by: Zhang, Gangxiong, et al.
Published: (2025)
by: Zhang, Gangxiong, et al.
Published: (2025)
Machine Learning and Kalman Filtering for Nanomechanical Mass Spectrometry
by: Erdogan, Mete, et al.
Published: (2023)
by: Erdogan, Mete, et al.
Published: (2023)
Spectral Predictability as a Fast Reliability Indicator for Time Series Forecasting Model Selection
by: Wang, Oliver, et al.
Published: (2025)
by: Wang, Oliver, et al.
Published: (2025)
Early Prediction of In-Hospital ICU Mortality Using Innovative First-Day Data: A Review
by: Huang, Baozhu, et al.
Published: (2025)
by: Huang, Baozhu, et al.
Published: (2025)
Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret
by: Qian, Jiachen, et al.
Published: (2025)
by: Qian, Jiachen, et al.
Published: (2025)
Latent Autoencoder Ensemble Kalman Filter for Nonlinear Data assimilation
by: Tong, Xin T., et al.
Published: (2026)
by: Tong, Xin T., et al.
Published: (2026)
Similar Items
-
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction
by: Liu, Jiacheng, et al.
Published: (2024) -
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries
by: Battula, Harshavardhan, et al.
Published: (2024) -
Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning
by: Wang, Hu, et al.
Published: (2025) -
Topological Kalman Filtering on Cell Complexes
by: Liu, Chengen, et al.
Published: (2026) -
The Constraint Tax: Measuring Validity-Correctness Tradeoffs in Structured Outputs for Small Language Models
by: Ray, Jaideep
Published: (2026)