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General Information
    • ISSN: 2382-6185
    • Frequency: Quarterly (2015-2016); semiyearly (Since 2017)
    • DOI: 10.18178/IJKE
    • Editor-in-Chief: Prof. Chen-Huei Chou
    • Executive Editor: Ms. Nina Lee
    • Indexed by: Google Scholar, DOAJ, Engineering & Technology Digital Library, Crossref, ProQuest
    • E-mail: ijke@ejournal.net
Editor-in-chief
Prof. Chen-Huei Chou
College of Charleston, SC, USA
It is my honor to be the editor-in-chief of IJKE. I will do my best to help develop this journal better.
IJKE 2016 Vol.2(1): 73-76 ISSN: 2382-6185
doi: 10.18178/ijke.2016.2.1.056

Diagnosing Breast Cancer Type by Using Probabilistic Neural Network in Decision Support System

Asieh Khosravanian and Saeed Ayat
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).

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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.

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