Title :
Applications of wavelet transform in forecasting incidence of infectious diseases
Author_Institution :
Dept. of Math. Sci., Indiana Univ., Indianapolis, IN, USA
Abstract :
The Haar wavelet transform and the simplex forecasting method are applied to the data set of hepatitis A in the United States to give better predictions of its incidence. Two approaches are presented. The first approach is to filter the data with wavelet decomposition and reconstruction then to use the simplex method on the reconstructed data. The second approach is to apply the simplex method directly to a state space formed by the components of wavelet decomposition
Keywords :
liver; prediction theory; wavelet transforms; Haar wavelet transform; United States; data filtering; hepatitis A; infectious diseases incidence forcasting; reconstructed data; simplex forecasting method; state space; wavelet decomposition components; Accuracy; Acquired immune deficiency syndrome; Casting; Filters; Liver diseases; Multiresolution analysis; Public healthcare; State-space methods; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.412136
