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

Volume

7

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

107

Lastpage

111

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.862

Filename

4667954