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EMS call volume predictions: A comparative study
Authors:Hubert Setzler  Cem Saydam  Sungjune Park
Affiliation:1. School of Business, Francis Marion University, P.O. Box 100547, Florence, SC 29501, USA;2. Business Information Systems and Operations Management Department, The Belk College of Business, The University of North Carolina at Charlotte, Charlotte, NC 28223-0001, USA
Abstract:
Keywords:Emergency medical service   Forecasting   Artificial neural networks
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