Title :
A Forecasting Model for Deciding Annual Vaccine Demand
Author :
Chiu, Ruey-kei ; Chang, Chi-Ming ; Chang, Yen-Chun
Author_Institution :
Fu Jen Catholic Univ., Taipei
Abstract :
This paper presents a computer-based forecast model for building a decision support system for forecasting the annual vaccine demand of a specific vaccine. The model is formatted by employing a combination technique including the Neural Network and Auto-Regressive Integrated Moving Average. The result generated from the system may be taken by the governmental immunization authority to make a better decision for budgeting and purchasing the annual requirement of specific vaccines.
Keywords :
autoregressive moving average processes; decision support systems; diseases; medical administrative data processing; neural nets; annual vaccine demand; autoregressive integrated moving average; combination technique; computer-based forecast model; decision support system; disease control center; governmental immunization authority; neural network; Cities and towns; Computational modeling; Demand forecasting; Diseases; Economic forecasting; Government; Hospitals; Neural networks; Predictive models; Vaccines; Decision Support System; Forecasting Model; Neural Networks; Time Series; Vaccine Demand;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.862
