Estimation and simulation of nonhomogeneous Poisson processes having multiple periodicities
WSC '95 Proceedings of the 27th conference on Winter simulation
Organ transplantation policy evaluation
WSC '95 Proceedings of the 27th conference on Winter simulation
Using simulation to craft a national organ transplantation policy
WSC '96 Proceedings of the 28th conference on Winter simulation
Developing a national allocation model for cadaveric kidneys
Proceedings of the 32nd conference on Winter simulation
Introduction to modeling and generating probabilistic input processes for simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 38th conference on Winter simulation
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 40th Conference on Winter Simulation
A machine learning-based approach to prognostic analysis of thoracic transplantations
Artificial Intelligence in Medicine
Introduction to modeling and generating probabilistic input processes for simulation
Winter Simulation Conference
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Modeling Throughput of Emergency Departments via Time Series: An Expectation Maximization Algorithm
ACM Transactions on Management Information Systems (TMIS) - Special Issue on Informatics for Smart Health and Wellbeing
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The UNOS Liver Allocation Model (ULAM) is a simulation of the cadaveric liver allocation system in the United States. ULAM was created by the United Network for Organ Sharing (UNOS) in collaboration with Pritsker Corporation/Symix Systems, to permit comparison of multiple liver allocation policy proposals so that policies can be tested prior to implementation. ULAM is extremely adaptable, and with it UNOS has been able to respond to varied and complex requests for policy analysis. ULAM has aided UNOS throughout the highly publicized national liver allocation debate, and its use is anticipated for the foreseeable future. The authors believe that ULAM is an excellent example of simulation technology used to resolve national medical policy issues. The success of ULAM, in terms of its ease of use, flexibility of design, and acceptance by the transplant community, has reinforced UNOS' desire to create other organ allocation models. This paper provides a brief description of ULAM's structure, and summarizes the evolution of ULAM from 1995 to 2000.