DocumentCode
1809434
Title
Poster: Applying data mining algorithms to early detection of liver cancer
Author
Pinheiro, Fabiola M R ; Kuo, Mu-Hsing
Author_Institution
Sch. of Health Inf. Sci., Univ. of Victoria, Victoria, BC, Canada
fYear
2012
fDate
23-25 Feb. 2012
Firstpage
1
Lastpage
1
Abstract
According to the World Health Organization, cancer is leading cause of deaths globally. Among all types cancer, liver cancer has the lowest survivability, with approximately 1 million deaths each year. Its rising incidence in the past decade is projected to continue is associated with varying demographic factors. Data mining can be of great utility in better understanding which risk factors are associated with increased incidence of liver cancer, as suggested by previous studies.
Keywords
cancer; data mining; liver; medical computing; World Health Organization; data mining algorithms; early liver cancer detection; risk factors; Algorithm design and analysis; Association rules; Cancer; Liver; Surgery; FP-growth; apriori; association algorithm; data mining; liver cancer;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Bio and Medical Sciences (ICCABS), 2012 IEEE 2nd International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4673-1320-9
Electronic_ISBN
978-1-4673-1319-3
Type
conf
DOI
10.1109/ICCABS.2012.6182656
Filename
6182656
Link To Document