title: Mining Association Rules in the BCCA Liver Cancer Data Set.
abstract: The objective of this study is to apply data mining techniques to determine factors that are commonly associated with liver cancer incidence, using an anonymized data set of 6064 patients from the British Columbia Cancer Agency (BCCA). The association rules indicate that in BC the patient demographic factors associated with increased liver cancer include: age ranges 60-69, male gender, and geographic location in the Greater Vancouver area. The main factors associated with decreased survivability in BC were being male and in the age range 70-79. In the Yukon, being male and in the age range 60-69 was the main factor associated with both increased incidence of liver cancer and decreased survivability.
authors: School of Health Information Science, University of Victoria, BC, Canada.
authors: Fabiola
authors: F
authors: Pinheiro
authors: School of Health Information Science, University of Victoria, BC, Canada.
authors: Mu-Hsing
authors: MH
authors: Kuo
authors: Department of Computer Science, University of Victoria, BC, Canada.
authors: Alex
authors: A
authors: Thomo
authors: British Columbia Cancer Agency, Victoria, B.C., Canada.
authors: Jeff
authors: J
authors: Barnett
mesh_terms: D000367:Age Factors; D000368:Aged; D000465:Algorithms; D001955:British Columbia / Q000453:epidemiology; D057225:Data Mining; D003710:Demography; D005260:Female; D006801:Humans; D015994:Incidence; D008113:Liver Neoplasms / Q000453:epidemiology*; D008297:Male; D008875:Middle Aged; D015996:Survival Rate