Classification of Brain Cancer by Using Naïve Bayesian Classifier

Abstract

Brain tumors typically behave in a unique fashion compared to neoplasm occurring elsewhere in the body. In particular, they rarely spread to other parts of the body and typically produce symptoms due to localized growth within the brain. For this reason, neoplasm in the brain, even malignant tumors, are typically referred to as “tumors” as opposed to “brain cancer”. Classification is the process of finding a set model that describe and distinguished data classes or concepts for the purpose if being able to use the model to predict the class of objects whose class label is unknown. The derived model is based on the analysis of a set of training data. This system focuses on the brain cancer diseases by using Naïve Bayesian Classifier that classifies Benigh Tumor of Glial Cells and Glioma. This system can be mentioned treatment information for the patient.