EMS call volume predictions: A comparative study

Computers and Operations Research

Volumn 36, Issue 6, 2009, Pages 1843-1851

  Setzler, Hubert ^a   Saydam, Cem ^b   Park, Sungjune ^b  

^a FRANCIS MARION UNIVERSITY   (United States)

^b UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

Author keywords

Artificial neural networks; Emergency medical service; Forecasting

Indexed keywords

AMBULANCES; BACKPROPAGATION; COMPUTATIONAL FLUID DYNAMICS; INFORMATION DISSEMINATION; MAGNETIC PROPERTIES; MAGNETIC SUSCEPTIBILITY; MANAGERS; NEURAL NETWORKS; VEGETATION;

ARTIFICIAL NEURAL NETWORKS; COMPARATIVE STUDIES; DEMAND PATTERNS; DEPLOYMENT PLANS; EMERGENCY CALLS; EMERGENCY MEDICAL SERVICE; EMERGENCY MEDICAL SERVICES; EMERGENCY RESPONSE TIMES; INDUSTRY PRACTICES; LIMITED RESOURCES; MOVING AVERAGES; OPTIMIZATION MODELS; SPACE AND TIMES; SPECIFIC AREAS; TIME OF DAYS;

FORECASTING;

EID: 56549097058     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2008.05.010     Document Type: Article

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