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).
Index Terms—Decision support system, Probabilistic neural
network, breast cancer, neural network.
Asieh Khosravanian is with Computer Engineering, Payame Noor
University, Iran (e-mail: dr.ayat@pnu.ac.ir).
Saeed Ayat is with the Department of Computer Engineering and
Information Technology, Payame Noor University, Iran (e-mail:
dr.ayat@pnu.ac.ir).
[PDF]
Cite: Asieh Khosravanian and Saeed Ayat, "Diagnosing Breast Cancer Type by Using Probabilistic Neural Network in Decision Support System," International Journal of Knowledge Engineering vol. 2, no. 1, pp. 73-76, 2016.
