Early predicting of hospital admission using machine learning algorithms: Priority queues approach
Fuente:
arXiv
Saved in:
| Main Authors: | Antczak, Jakub, Montgomery, James, O'Reilly, Małgorzata, Palmowski, Zbigniew, Turner, Richard |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Markov Decision Process and Approximate Dynamic Programming for a Patient Assignment Scheduling problem
by: O'Reilly, Malgorzata M., et al.
Published: (2024)
by: O'Reilly, Malgorzata M., et al.
Published: (2024)
An intrusion detection system in internet of things using grasshopper optimization algorithm and machine learning algorithms
by: Sattarpour, Shiva, et al.
Published: (2025)
by: Sattarpour, Shiva, et al.
Published: (2025)
Managing ride-sourcing drivers at transportation terminals: a lottery-based queueing approach
by: Liu, Tianming, et al.
Published: (2025)
by: Liu, Tianming, et al.
Published: (2025)
Stochastic dynamic job scheduling with interruptible setup and processing times: An approach based on queueing control
by: Tian, Dongnuan, et al.
Published: (2025)
by: Tian, Dongnuan, et al.
Published: (2025)
Competitive EV charging station location with queues
by: Nguyen, The Minh, et al.
Published: (2025)
by: Nguyen, The Minh, et al.
Published: (2025)
Sensitivity analysis of Stochastic Fluid Models: Stationary and transient quantities with applications
by: Aksamit, Anna, et al.
Published: (2026)
by: Aksamit, Anna, et al.
Published: (2026)
A state reduction approach for learning-based model predictive control for train rescheduling
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2025)
by: da Silva, Caio Fabio Oliveira, et al.
Published: (2025)
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition
by: Mitrai, Ilias, et al.
Published: (2023)
by: Mitrai, Ilias, et al.
Published: (2023)
PG-Flow: Deterministic implicit policy gradients for geometric product-form queueing networks
by: Mahjoub, Youssef Ait El
Published: (2025)
by: Mahjoub, Youssef Ait El
Published: (2025)
Yaglom limit for Stochastic Fluid Models
by: Bean, Nigel G., et al.
Published: (2019)
by: Bean, Nigel G., et al.
Published: (2019)
Control policies for a two-stage queueing system with parallel and single server options
by: Lu, Shuwen, et al.
Published: (2026)
by: Lu, Shuwen, et al.
Published: (2026)
Gradient directions and relative inexactness in optimization and machine learning
by: Vasin, Artem
Published: (2024)
by: Vasin, Artem
Published: (2024)
Accelerated windowing for the crew rostering problem with machine learning
by: Racette, Philippe, et al.
Published: (2025)
by: Racette, Philippe, et al.
Published: (2025)
A stochastic programming approach for dynamic allocation of bed capacity and assignment of patients to collaborating hospitals during pandemic outbreaks
by: Baas, Stef, et al.
Published: (2023)
by: Baas, Stef, et al.
Published: (2023)
A novel trajectory optimization algorithm for continuous-time model predictive control
by: Das, Souvik, et al.
Published: (2023)
by: Das, Souvik, et al.
Published: (2023)
Common pitfalls to avoid while using multiobjective optimization in machine learning
by: Akhter, Junaid, et al.
Published: (2024)
by: Akhter, Junaid, et al.
Published: (2024)
Robust and structure exploiting optimization algorithms: An integral quadratic constraint approach
by: Michalowsky, Simon, et al.
Published: (2019)
by: Michalowsky, Simon, et al.
Published: (2019)
Stability of vehicular admission control schemes in urban traffic networks under modelling uncertainty
by: Ramp, Michalis, et al.
Published: (2026)
by: Ramp, Michalis, et al.
Published: (2026)
Research on the descent direction of prediction correction algorithms for pseudo-convex/convex optimization problems
by: Li, Ting, et al.
Published: (2025)
by: Li, Ting, et al.
Published: (2025)
On the convergence of fictitious play algorithm in repeated games via the geometrical approach
by: Wu, Zhouming, et al.
Published: (2024)
by: Wu, Zhouming, et al.
Published: (2024)
Heuristic approaches for solving a bilevel optimistic scheduling problem on parallel machines
by: Schau, Quentin, et al.
Published: (2026)
by: Schau, Quentin, et al.
Published: (2026)
The Star Geometry of Critic-Based Regularizer Learning
by: Leong, Oscar, et al.
Published: (2024)
by: Leong, Oscar, et al.
Published: (2024)
Optimal Regularization Under Uncertainty: Distributional Robustness and Convexity Constraints
by: Leong, Oscar, et al.
Published: (2025)
by: Leong, Oscar, et al.
Published: (2025)
Enhancing finite-difference based derivative-free optimization methods with machine learning
by: Taminiau, Timothé, et al.
Published: (2025)
by: Taminiau, Timothé, et al.
Published: (2025)
Computing the nearest $Ω$-admissible descriptor dissipative Hamiltonian system
by: Aggarwal, Vaishali, et al.
Published: (2025)
by: Aggarwal, Vaishali, et al.
Published: (2025)
A learning model predictive control for virtual coupling in railroads
by: Vaquero-Serrano, Miguel A., et al.
Published: (2025)
by: Vaquero-Serrano, Miguel A., et al.
Published: (2025)
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
by: Bouška, Michal, et al.
Published: (2024)
by: Bouška, Michal, et al.
Published: (2024)
Curvature accelerated decentralized non-convex optimization for high-dimensional machine learning problems
by: Yi, Dingran, et al.
Published: (2025)
by: Yi, Dingran, et al.
Published: (2025)
Computing the Congestion Phases of Dynamical Systems with Priorities and Application to Emergency Departments
by: Allamigeon, Xavier, et al.
Published: (2025)
by: Allamigeon, Xavier, et al.
Published: (2025)
Distributed Priority-Based Load Shedding over Time-Varying Communication Networks
by: Aghajan, Adel, et al.
Published: (2024)
by: Aghajan, Adel, et al.
Published: (2024)
A systematic approach to general higher-order majorization-minimization algorithms for (non)convex optimization
by: Necoara, Ion, et al.
Published: (2020)
by: Necoara, Ion, et al.
Published: (2020)
Robust stability analysis of a simple data-driven model predictive control approach
by: Bongard, Joscha, et al.
Published: (2021)
by: Bongard, Joscha, et al.
Published: (2021)
A multiobjective approach to robust predictive control barrier functions for discrete-time systems
by: Didier, Alexandre, et al.
Published: (2025)
by: Didier, Alexandre, et al.
Published: (2025)
Safe continual learning in model predictive control with prescribed bounds on the tracking error
by: Lanza, Lukas, et al.
Published: (2023)
by: Lanza, Lukas, et al.
Published: (2023)
Model reduction, machine learning based global optimisation for large-scale steady state nonlinear systems
by: Tao, Min, et al.
Published: (2024)
by: Tao, Min, et al.
Published: (2024)
Revealing design archetypes and flexibility in e-molecule import pathways using Modeling to Generate Alternatives and interpretable machine learning
by: Kchaou, Mahdi, et al.
Published: (2025)
by: Kchaou, Mahdi, et al.
Published: (2025)
Parallel variational quantum algorithms with gradient-informed restart to speed up optimisation in the presence of barren plateaus
by: Mastropietro, Daniel, et al.
Published: (2023)
by: Mastropietro, Daniel, et al.
Published: (2023)
Riccati-ZORO: An efficient algorithm for heuristic online optimization of internal feedback laws in robust and stochastic model predictive control
by: Messerer, Florian, et al.
Published: (2025)
by: Messerer, Florian, et al.
Published: (2025)
Data-driven $H_{\infty}$ predictive control for constrained systems: a Lagrange duality approach
by: Wu, Wenhuang, et al.
Published: (2024)
by: Wu, Wenhuang, et al.
Published: (2024)
Hybrid physics-informed metabolic cybergenetics: process rates augmented with machine-learning surrogates informed by flux balance analysis
by: Espinel-Ríos, Sebastián, et al.
Published: (2024)
by: Espinel-Ríos, Sebastián, et al.
Published: (2024)
Similar Items
-
Markov Decision Process and Approximate Dynamic Programming for a Patient Assignment Scheduling problem
by: O'Reilly, Malgorzata M., et al.
Published: (2024) -
An intrusion detection system in internet of things using grasshopper optimization algorithm and machine learning algorithms
by: Sattarpour, Shiva, et al.
Published: (2025) -
Managing ride-sourcing drivers at transportation terminals: a lottery-based queueing approach
by: Liu, Tianming, et al.
Published: (2025) -
Stochastic dynamic job scheduling with interruptible setup and processing times: An approach based on queueing control
by: Tian, Dongnuan, et al.
Published: (2025) -
Competitive EV charging station location with queues
by: Nguyen, The Minh, et al.
Published: (2025)