An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.

Journal: Computer methods and programs in biomedicine
PMID: 25697987

Abstract

BACKGROUND: There is a growing demand for women to be classified into different risk groups of developing breast cancer (BC). The focus of the reported work is on the development of an integrated risk prediction model using a two-level fuzzy cognitive map (FCM) model. The proposed model combines the results of the initial screening mammogram of the given woman with her demographic risk factors to predict the post-screening risk of developing BC.

Authors

  • Jayashree Subramanian
    Computer Science Engineering, RVS College of Engineering and Technology, Coimbatore, India. Electronic address: jayashreecls@gmail.com.
  • Akila Karmegam
    Mechatronics Engineering, Kumaraguru College of Technology, Coimbatore, India. Electronic address: skylabm@gmail.com.
  • Elpiniki Papageorgiou
    Computer Engineering Department, Technological Educational Institute of Central Greece, 3rd KM Old National Road Lamia-Athens, 35100 Lamia, Greece. Electronic address: epapageorgiou@teiste.gr.
  • Nikolaos Papandrianos
    Diagnostic Medical Center "Diagnostiko Iatriki A.E.", Larisa, Greece. Electronic address: nikpapandr@gmail.com.
  • A Vasukie
    Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore, India. Electronic address: vasuki.a.ece@kct.ac.in.

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