DocumentCode
3347250
Title
Notice of Retraction
Liaoning Province Hemorrhagic Fever with Renal Syndrome Incidence Prediction Based on ARMA Model
Author
Feng Gao
Author_Institution
Sch. of Economic & Manage., Shengyang LIGONG Univ., Shenyang, China
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
3
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
To discuss if it is possible to forecast hemorrhagic fever with renal syndrome (HFRS) incidence with time series predictive models, The ARMA model has been established based on the data in Liaoning Province from 1990 to 2001. The ARMA model can be used to forecast HFRS incidence with high predictive precision in the short term .The results have provided theory basis for establishing scientific and effective defending measures.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
To discuss if it is possible to forecast hemorrhagic fever with renal syndrome (HFRS) incidence with time series predictive models, The ARMA model has been established based on the data in Liaoning Province from 1990 to 2001. The ARMA model can be used to forecast HFRS incidence with high predictive precision in the short term .The results have provided theory basis for establishing scientific and effective defending measures.
Keywords
autoregressive moving average processes; diseases; time series; ARMA model; HFRS incidence; Liaoning province; hemorrhagic fever with renal syndrome; renal syndrome incidence prediction; time series; Autoregressive processes; Correlation; Data models; Forecasting; Mathematical model; Predictive models; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5781629
Filename
5781629
Link To Document