title: [Progress in data mining techniques of diagnosis of breast cancer].
abstract: 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.
authors.affiliation: Department of Thoracic Surgery, Nanhua Hospital Affiliated to South China University, Hengyang 421002, China.
authors.forename: Ju
authors.initials: J
authors.lastname: Zou
authors.forename: Qingmo
authors.initials: Q
authors.lastname: Liang
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis*; D057225:Data Mining; D003663:Decision Trees; D005260:Female; D006801:Humans; D016015:Logistic Models; D016571:Neural Networks, Computer; D060388:Support Vector Machine