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Abstract-In this research probabilistic neural network (PNN) was used to devise a decision support system (DSS) to diagnose the type of breast cancer in patients with this disorder. The proposed method was assessed by using a reservoir of data related to patients with breast cancer, which included 699 cases stored in UCI Machine Learning Repository. To implement the network, the applications and functions in Matlab (7.12.0) were utilized. Performance indices of this system were sensitivity, specificity, and accuracy. The performance of the proposed system based on the three indices, at the network testing phase, was found to be satisfactory (sensitivity, 1; specificity, 0.98; and accuracy, 0.99).

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