An Application of Apriori Algorithm in SEER Breast Cancer Data

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.