The automatic diagnosis system of breast cancer based on the improved Apriori algorithm

This paper introduces computer-aided diagnosis, association rules and its application in the medical field, and proposes an improved Apriori algorithm combined with the characteristics of breast cancer data. By the mining decision rules, doctors can greatly improve their diagnostic efficiency and accuracy for breast cancer. Using the mining decision rules, we can also establish medical knowledge database, and provide useful data resource for the future medical research.