Using Bayesian Belief Networks for Prognosis & Diagnosis of Breast Cancer

Today in field of Medicine there is a bulk collections and sets of data in hand about the patients, diagnosis, treatment procedures etc .Using data mining techniques in those cases endow with a statistical and logical analysis of the data looking for patterns that can aid by decision making and prediction. In this paper we presents study of using Bayesian network (BN) in the domain of cancer specially breast cancer where BN are especially appropriate because of their symbolic representation, handling of uncertainty, where different scenarios are possible by given evidences. The objective of this paper is to survey the utility of a Bayesian Belief Network for an automated breast cancer detection support tool. We conclude that Bayesian networks provide a potentially useful technique for mammographic decision support.