论文信息 - A New Epidemic Disease Predicting Method

A New Epidemic Disease Predicting Method

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.

[1] Wang Wen-sheng. Study on wavelet network model and its application to the prediction of daily discharge , 2004 .

[2] J J Goedert,et al. Use of neural networks to model complex immunogenetic associations of disease: human leukocyte antigen impact on the progression of human immunodeficiency virus infection. , 1998, American journal of epidemiology.

[3] Fionn Murtagh,et al. Wavelet-based feature extraction and decomposition strategies for financial forecasting , 1998 .