An Application of Apriori Algorithm in SEER Breast Cancer Data

Author

Fan, Qi ; Zhu, Chang-Jie ; Xiao, Jian-Yu ; Wang, Bao-Hua ; Yin, Liu ; Xu, Xiao-Lu ; Rong, Feng

Author_Institution

Sch. of Comput. Sci. & Technol., Huaibei Normal Univ., Huaibei, China

Volume

3

fYear

2010

fDate

23-24 Oct. 2010

Firstpage

114

Lastpage

116

Abstract

In this work, we adopt Apriori Algorithm to explore the relationship between treatment preferences and survival of breast cancer patient based on other medical attributes. The SEER Public-Use Data 2005 is used in this research. After the preprocessing of the dataset, we apply Apriori algorithm of Association Rules. As a result, we obtain a great deal of association rules related. We pick up some easy understandable and comparable rules to discuss and show that data mining technique is a efficient method to explore the relationship between breast cancer treatment preferences and survivability. Medical experts could continue our research and found more meaningful knowledge.

Keywords

cancer; data mining; medical administrative data processing; medical computing; patient treatment; SEER Public-Use Data 2005; SEER breast cancer data; apriori algorithm; association rule; data mining technique; dataset preprocessing; medical attribute; medical expert; Artificial intelligence; Computational intelligence; Apriori; Association Rule; Breast Cancer; Data Mining; SEER; Treatment Preferences;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-8432-4

Type

conf

DOI

10.1109/AICI.2010.263

Filename

5656419