Title :
A New Epidemic Disease Predicting Method
Author :
Peng, Li-zhen ; Yi, Li-xiao ; Hua, Shi-Yan
Author_Institution :
Sch. of Math. & Syst. Sci., ShenYang Normal Univ., Shenyang
Abstract :
Considering the epidemic data in a long duration as non-stationary time series, we present a novel comprehensive model free infection prediction scheme with combining both wavelet multi-resolution analysis and wavelet neural network. The performance of the new approach is illustrated by an application to predicting the US CDC (03-04) %ILI data, simulation result shows our method is valid and has high prediction accuracy.
Keywords :
diseases; medical computing; neural nets; time series; wavelet transforms; epidemic disease predicting method; model free infection prediction scheme; nonstationary time series; wavelet multi-resolution analysis; wavelet neural network; Diseases; Frequency; Influenza; Mathematical model; Mathematics; Neural networks; Predictive models; Signal processing; Surveillance; Wavelet analysis; infection prediction; neural network; non-stationary time series; wavelet analysis;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.77
