Comparison of four different time series methods to forecast hepatitis A virus infection

Abstract Hepatitis A virus (HAV) infection is not a problem of only developing countries, but also of developed countries. In this study, we compared time series prediction capabilities of three artificial neural networks (ANN) algorithms (multi-layer perceptron (MLP), radial basis function (RBF), and time delay neural networks (TDNN)), and auto-regressive integrated moving average (ARIMA) model to HAV forecasting. To assess the effectiveness of these methods, we used in forecasting 13 years of time series (January 1992–June 2004) monthly records for HAV data, in Turkey. Results show that MLP is more accurate and performs better than RBF, TDNN and ARIMA model.

[1]  Guoqiang Peter Zhang,et al.  Time series forecasting using a hybrid ARIMA and neural network model , 2003, Neurocomputing.

[2]  Paul A. Fishwick,et al.  Feedforward Neural Nets as Models for Time Series Forecasting , 1993, INFORMS J. Comput..

[3]  Claas de Groot,et al.  Analysis of univariate time series with connectionist nets: A case study of two classical examples , 1991, Neurocomputing.

[4]  J. Cuthbert,et al.  Hepatitis A: Old and New , 2001, Clinical Microbiology Reviews.

[5]  Jose C. Principe,et al.  Neural and adaptive systems : fundamentals through simulations , 2000 .

[6]  F.F. Nobre,et al.  Forecasting epidemiological time series with backpropagation neural networks , 1995, 38th Midwest Symposium on Circuits and Systems. Proceedings.

[7]  Raymond D. Kent,et al.  An auditory-feedback-based neural network model of speech production that is robust to developmental changes in the size and shape of the articulatory system. , 2000, Journal of speech, language, and hearing research : JSLHR.

[8]  Ahmet Kurunç,et al.  Performance of two stochastic approaches for forecasting water quality and streamflow data from Yesilrmak River, Turkey , 2005, Environ. Model. Softw..

[9]  George E. P. Box,et al.  Time Series Analysis: Forecasting and Control , 1977 .

[10]  Wilpen L. Gorr,et al.  Editorial: Research prospective on neural network forecasting , 1994 .

[11]  Christine Wisnom,et al.  Advances in the diagnosis and management of human viral hepatitis. , 2003, Dental clinics of North America.

[12]  M.H. Hassoun,et al.  Fundamentals of Artificial Neural Networks , 1996, Proceedings of the IEEE.

[13]  Khashayar Khorasani,et al.  New training strategies for constructive neural networks with application to regression problems , 2004, Neural Networks.

[14]  Mevlut Ture,et al.  Comparing classification techniques for predicting essential hypertension , 2005, Expert Syst. Appl..

[15]  P. Guan,et al.  Forecasting model for the incidence of hepatitis A based on artificial neural network. , 2004, World journal of gastroenterology.

[16]  G. Box,et al.  On a measure of lack of fit in time series models , 1978 .

[17]  Jose C. Principe,et al.  Improving pattern recognition of electronic nose data with time-delay neural networks , 2003 .

[18]  M. Türe,et al.  The epidemiology of hepatitis a virus infection in children, in Edirne, Turkey , 2003, European Journal of Epidemiology.

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

[20]  D. Lavanchy,et al.  Public health measures in the control of viral hepatitis: A World Health Organization perspective for the next millennium , 2002, Journal of gastroenterology and hepatology.

[21]  M. Traeger,et al.  Vorhersage von Übelkeit und Erbrechen in der postoperativen Phase durch ein künstliches neuronales Netz , 2003, Der Anaesthesist.

[22]  H. Akaike.  A new look at the statistical model identification , 1974 .

[23]  Lj.R. Cander,et al.  Short-Term Prediction of foF2 using Time-Delay Neural Network , 1999 .

[24]  Linfield Brown,et al.  Statistics for Environmental Engineers , 2002 .

[25]  Michael Y. Hu,et al.  Forecasting with artificial neural networks: The state of the art , 1997 .

[26]  William Remus,et al.  Neural Network Models for Time Series Forecasts , 1996 .

[27]  José Antonio Gómez-Ruiz,et al.  A combined neural network and decision trees model for prognosis of breast cancer relapse , 2003, Artif. Intell. Medicine.

[28]  Larry K. Pickering,et al.  Prevention of hepatitis A infections: guidelines for use of hepatitis A vaccine and immune globulin. American Academy of Pediatrics Committee on Infectious Diseases. , 1996, Pediatrics.