An Application of Apriori Algorithm in SEER Breast Cancer Data
Qi Fan, Changjie Zhu, Jianyu Xiao, Baohua Wang, Yin Liu, Xiaolu Xu, Feng Rong · 2010
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.