[Progress in data mining techniques of diagnosis of breast cancer]

Data mining is to extract the interested information or knowledge from large databases using a series of techniques. The information and knowledge are generally hidden, unknown, but potentially useful, which can be expressed as concepts, rules, laws, modes or other forms. This article introduces the background and concepts of data mining, and reviews its application in medicine and the diagnosis of breast cancer for the most recent years. We also discuss the significance and current problems of this application in the diagnosis of breast cancer.