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Developing of Fuzzy Logic Decision Support for Management of Breast Cancer

by Sameh Mohamed Sobhy, Wael Mohamed Khedr
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 1
Year of Publication: 2016
Authors: Sameh Mohamed Sobhy, Wael Mohamed Khedr
10.5120/ijca2016910585

Sameh Mohamed Sobhy, Wael Mohamed Khedr . Developing of Fuzzy Logic Decision Support for Management of Breast Cancer. International Journal of Computer Applications. 147, 1 ( Aug 2016), 1-6. DOI=10.5120/ijca2016910585

@article{ 10.5120/ijca2016910585,
author = { Sameh Mohamed Sobhy, Wael Mohamed Khedr },
title = { Developing of Fuzzy Logic Decision Support for Management of Breast Cancer },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 1 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number1/25614-2016910585/ },
doi = { 10.5120/ijca2016910585 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:41.722735+05:30
%A Sameh Mohamed Sobhy
%A Wael Mohamed Khedr
%T Developing of Fuzzy Logic Decision Support for Management of Breast Cancer
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 1
%P 1-6
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automatic diagnosis of breast cancer is an important, that’s really real-world medical problem. This paper aims to describe an intelligent procedure based on fuzzy logic techniques and medical model to detect and diagnose Breast. The system has 7 input parameters and 1 output, in which the inputs are Age, Genetic Factor, Menarche Age, First Pregnancy, Menopause Age, Nutrition Habit, Life Style and the output parameter which is based on diagnosis risk degree. We have used Mamdani inference engine to deduce from the input parameters to stage the cancer.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Fuzzy Inference Systems(FIS) Breast Cancer risk analysis.

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