The application of association rule mining in the diagnosis of pancreatic cancer

Abstract

The method of association rule mining used in cases of diagnostic work, you can find out the relationship between the etiology level factors from a large number of cases recorded, from mining association rules in the diagnosis of pancreatic cancer database to discover the relationship pancreatic cancer and blood group age, gender, environment, diet, genetic predisposition, mood state factors, which found that the factors of pancreatic disease it may rule, diagnosis and prevention of pancreatic cancer cases are important guiding significance. © Springer Science+Business Media Dordrecht 2014.