DocumentCode :
3303482
Title :
A Novel Breast Screening Attendance Predictor Variable Based on Distance Travelled to Screening Facility
Author :
Baskaran, Vikraman ; Bali, Rajeev K. ; Naguib, Raouf NG
Author_Institution :
Ted Rogers Sch. of ITM, Ryerson Univ., Toronto, ON, Canada
fYear :
2011
fDate :
6-8 Dec. 2011
Firstpage :
164
Lastpage :
167
Abstract :
Breast cancer is a high mortality disease for which a cure is still out of reach to modern medicine. The only viable preventive mechanism available is breast screening. Nonattendance has been the biggest impediment that has plagued many publicly funded breast screening programs. Physicians´ intervention has been accepted as one of the reliable countermeasures aimed at increasing screening attendance. A prediction tool would focus on and benefit these interventions only on the non-attendees instead of the whole screening population. A number of predictors have been proposed for making efficient predictions. This paper discusses one such predictor attribute, based on distance travelled from screening women´s residence to the screening facility. We further test the attribute on an actual dataset and present the results.
Keywords :
cancer; diseases; breast cancer; breast screening attendance predictor variable; high mortality disease; physician intervention; predictor attribute; publicly funded breast screening programs; screening facility; travelled distance; Accuracy; Algorithm design and analysis; Breast cancer; Classification algorithms; Prediction algorithms; Breast screening; attendance; neural networks; prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Developments in E-systems Engineering (DeSE), 2011
Conference_Location :
Dubai
Print_ISBN :
978-1-4577-2186-1
Type :
conf
DOI :
10.1109/DeSE.2011.39
Filename :
6149933
Link To Document :
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