A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method. Issue 2 (November 2015)

• Record Type: Journal Article
• Authors: Papageorgiou, Elpiniki I.; Jayashree Subramanian; Karmegam, Akila; Papandrianos, Nikolaos
• Is Part Of: Computer methods and programs in biomedicine. Volume 122:Issue 2(2015)
• Page Start: 123
• Page End: 135
• Publication Date: 2015-11
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.07.003
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title id="sect0005">Highlights</title> <sec> <p id="spar0005"> <list id="lis0005"> <list-item id="lsti0005"> <label></label> <p id="par0005">Development of a familial breast cancer risk assessment model using Fuzzy Cognitive Map (FCM) methodology.</p> </list-item> <list-item id="lsti0010"> <label></label> <p id="par0010">The proposed methodology concentrates its efforts on personalized/individual decision making including the family history and the demographic risk factors to elicit the hidden risk of developing breast cancer.</p> </list-item> <list-item id="lsti0015"> <label></label> <p id="par0015">Hebbian-based learning capabilities of FCM were used to improve the modeling issue and contribute to risk prediction.</p> </list-item> <list-item id="lsti0020"> <label></label> <p id="par0020">The accuracy of the system is compared with benchmark machine learning methods showing its superiority.</p> </list-item> </list> </p> </sec> </abstract>