DocumentCode
3097728
Title
Notice of Retraction
Cerebral Stroke and Its Predicting Model in Urumchi
Author
Dou Xin-ying ; Fang Ting-ting
Author_Institution
Urumchi Meterological Bur., Urumchi, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
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.
Using the data of the monthly number of people with stroke in Urumchi and surface data from document A during the same period, the monthly and annual variation of the number of people with stroke is discussed. The results show: January is the peak month when the number of people with stroke is the most, relatively, there are more people with cerebral stroke during March~July; the yearly number of people with stroke shows a clear tendency to increase; by correlating the number of people with stroke with meteorological factors, the main meteorological factors to induce the cerebral stroke are confirmed, there are suited correlation between the number and the monthly mean pressure, monthly mean temperature , monthly mean hours of sunlight, monthly mean total cloud cover, daily mean range of pressure in ten days, average relatively humidity in ten days, average wind speed in ten days; the meteorological forecasting model is also established for the number of people with stroke, the diagnose and forecasting results show that the accuracy of the forecasting level is 71% and 63% respectively, it indicates that this model is feasible with enough forecasting ability.
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.
Using the data of the monthly number of people with stroke in Urumchi and surface data from document A during the same period, the monthly and annual variation of the number of people with stroke is discussed. The results show: January is the peak month when the number of people with stroke is the most, relatively, there are more people with cerebral stroke during March~July; the yearly number of people with stroke shows a clear tendency to increase; by correlating the number of people with stroke with meteorological factors, the main meteorological factors to induce the cerebral stroke are confirmed, there are suited correlation between the number and the monthly mean pressure, monthly mean temperature , monthly mean hours of sunlight, monthly mean total cloud cover, daily mean range of pressure in ten days, average relatively humidity in ten days, average wind speed in ten days; the meteorological forecasting model is also established for the number of people with stroke, the diagnose and forecasting results show that the accuracy of the forecasting level is 71% and 63% respectively, it indicates that this model is feasible with enough forecasting ability.
Keywords
atmospheric pressure; atmospheric temperature; blood vessels; brain; clouds; diseases; sunlight; weather forecasting; wind; Urumchi; cerebral stroke; meteorological factors; meteorological forecasting model; monthly mean pressure; monthly mean sunlight hours; monthly mean temperature; monthly mean total cloud cover; relatively humidity; wind speed; Cardiac disease; Cardiovascular diseases; Humidity; Meteorological factors; Meteorology; Predictive models; Temperature; Veins; Weather forecasting; Wind forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Type
conf
DOI
10.1109/ICBBE.2010.5515347
Filename
5515347
Link To Document