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Optimization of High-dimensional Simulation Models Using Synthetic Data
Simulation models are valuable tools for resource usage estimation and c...
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CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19
The coronavirus disease 2019 (COVID-19) global pandemic poses the threat...
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A Visual Analytics Based Decision Making Environment for COVID-19 Modeling and Visualization
Public health officials dealing with pandemics like COVID-19 have to eva...
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Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?
As the COVID-19 pandemic expands, the shortening of medical equipment is...
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Predicting special care during the COVID-19 pandemic: A machine learning approach
More than ever COVID-19 is putting pressure on health systems all around...
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Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds
Predicting patient volumes in a hospital setting is a well-studied appli...
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Statistical Analytics and Regional Representation Learning for COVID-19 Pandemic Understanding
The rapid spread of the novel coronavirus (COVID-19) has severely impact...
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Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic
We present a resource-planning tool for hospitals under special consideration of the COVID-19 pandemic, called babsim.hospital. It provides many advantages for crisis teams, e.g., comparison with their own local planning, simulation of local events, simulation of several scenarios (worst / best case). There are benefits for medical professionals, e.g, analysis of the pandemic at local, regional, state and federal level, the consideration of special risk groups, tools for validating the length of stays and transition probabilities. Finally, there are potential advantages for administration, management, e.g., assessment of the situation of individual hospitals taking local events into account, consideration of relevant resources such as beds, ventilators, rooms, protective clothing, and personnel planning, e.g., medical and nursing staff. babsim.hospital combines simulation, optimization, statistics, and artificial intelligence processes in a very efficient way. The core is a discrete, event-based simulation model.
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