Machine learning based integrated scheduling and rescheduling for elective and emergency patients in the operating theatre
M Eshghali, D Kannan… - Annals of Operations …, 2024 - Springer
As the only largest source of revenue and cost in a hospital, the operation room (OR)
scheduling problem is a hot research topic. Nonetheless, an integrated model is the missing …
scheduling problem is a hot research topic. Nonetheless, an integrated model is the missing …
[PDF][PDF] Agent-based models using artificial intelligence: A literature review
M Hauff, A Lurz - 2022 - sce.carleton.ca
Simulations of behavior, in particular agent-based models (ABM), enhance informed
decision-making. At present, Covid-19's autonomous dispersion is a notable use case, but …
decision-making. At present, Covid-19's autonomous dispersion is a notable use case, but …
Multi-objective reinforcement learning based healthcare expansion planning considering pandemic events
Hospital capacity expansion planning is critical for a healthcare authority, especially in
regions with a growing diverse population. Policymaking to this end often requires satisfying …
regions with a growing diverse population. Policymaking to this end often requires satisfying …
Deep reinforcement learning based cost-benefit analysis for hospital capacity planning
The stochastic nature of hospital bed demands and population growth rate in high migration
areas poses significant challenges for the authorities to devise an appropriate hospital …
areas poses significant challenges for the authorities to devise an appropriate hospital …
Use of machine learning for long term planning and cost minimization in healthcare management
SB Kabir, SS Shuvo, HU Ahmed - medRxiv, 2021 - medrxiv.org
The Healthcare system of a country is a crucial infrastructure that requires long-term capacity
planning. The covid 19 outbreak pointed to the necessity of adequate hospital capacity …
planning. The covid 19 outbreak pointed to the necessity of adequate hospital capacity …
A time series analysis and comparison of predictive models for the demand for healthcare equipments
Preeti, N Gupta - Life Cycle Reliability and Safety Engineering, 2024 - Springer
Healthcare is a sector where a good planning is in need to optimize the use of healthcare
equipments. The demand for hospital beds can vary due to certain reasons such as sudden …
equipments. The demand for hospital beds can vary due to certain reasons such as sudden …
Deep Reinforcement Learning Based Optimization Techniques for Energy and Socioeconomic Systems
SS Shuvo - 2023 - search.proquest.com
Optimization, which refers to making the best or most out of a system, is critical for an
organization's strategic planning. Optimization theories and techniques aim to find the …
organization's strategic planning. Optimization theories and techniques aim to find the …