An emergency department simulation and a neural network metamodel.

This paper describes a discrete event stochastic simulation of a hospital emergency department, and the development of a metamodel of that simulation. The metamodeling technique used is artificial neural networks, which are trained utilizing the output of the simulation. The performance of the neural network metamodel is compared to the simulation performance for estimating the mean and variance of patient time in the emergency department.

[1]  Adedeji B. Badiru,et al.  Neural network as a simulation metamodel in economic analysis of risky projects , 1998, Eur. J. Oper. Res..

[2]  B. Yu,et al.  Metamodels in manufacturing: a review , 1994 .

[3]  R. D. Hurrion.  Using a Neural Network to Enhance the Decision Making Quality of a Visual Interactive Simulation Model , 1992 .

[4]  Henri Pierreval,et al.  An investigation on neural network capabilities as simulation metamodels , 1992 .

[5]  M. Barry Dumas.  Simulation modeling for hospital bed planning , 1984 .

[6]  Bruce Hunter,et al.  Computer Simulation of Surgical Patient Movement in a Medical Care Facility. , 1987 .

[7]  Julie C. Lowery.  Multi-hospital validation of critical care simulation model , 1993, WSC '93.

[8]  A Koshiro,et al.  Computer simulation of optimum personnel assignment in hospital pharmacy using a work-sampling method. , 1990, Medical informatics = Medecine et informatique.

[9]  Mary Lou Padgett,et al.  Neural networks and simulation: Modeling for applications , 1992, Simul..

[10]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[11]  Ken-ichi Funahashi,et al.  On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.

[12]  Russell R. Barton,et al.  Metamodels for simulation input-output relations , 1992, WSC '92.

[13]  H. Pierreval.  Training A Neural Network By Simulation For Dispatching Problems , 1992, Proceedings of the Third International Conference on Computer Integrated Manufacturing,.

[14]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[15]  P. A. Fishwick.  Neural network models in simulation: a comparison with traditional modeling approaches , 1989, WSC '89.

[16]  L. LeBlanc,et al.  Modeling emergency department operations using advanced computer simulation systems. , 1989, Annals of emergency medicine.

[17]  Alice E. Smith,et al.  USING ARTIFICIAL NEURAL NETWORKS TO APPROXIMATE A DISCRETE EVENT STOCHASTIC SIMULATION MODEL , 1993 .

[18]  Mahachek Ar,et al.  An introduction to patient flow simulation for health-care managers. , 1992 .

[19]  A R Mahachek.  An introduction to patient flow simulation for health-care managers. , 1992, Journal of the Society for Health Systems.