DocumentCode :
1813296
Title :
Diagnostic tool to detect early stage of breast cancer using fuzzy logic
Author :
Mazlan, Umi Hanim ; Sabli, Mohamad Azmeer ; Ab Raji, Nurul Hidayah ; Jamaluddin, Siti Hafawati ; Wan Ismail, Wan Saiful´Azzam
Author_Institution :
Fac. of Comput. & Math. Sci., Univ. Teknol. MARA Perlis, Arau, Malaysia
fYear :
2015
fDate :
21-23 April 2015
Firstpage :
73
Lastpage :
76
Abstract :
Cancer is a dangerous disease that can be treated at an early stage. Most of the cancers will show their early symptoms. However, the people at risk usually ignore the early symptoms they have cause they cannot be treated quickly. For breast cancer, Breast Self Examination (BSE), is the fastest screening test that can be conducted individually to detect the early symptoms. However, the BSE alone only makes people ambiguous with their own test. This problem can be tackled with the diagnostic tool that can support BSE in producing convincing result to rely on. In order to develop the diagnostic tool, fuzzy logic technique is applied since one of the major contributions of this method is its high level of precision. The intention of this study is also to provide information regarding breast cancer, thus the diagnostic tool is incorporated with informative web-based system.
Keywords :
Internet; cancer; fuzzy logic; medical diagnostic computing; BSE screening test; breast cancer detection; breast self examination; diagnostic tool; fuzzy logic; informative Web-based system; Breast cancer; Data acquisition; Fuzzy logic; Pragmatics; Testing; Diagnostic tool; breast cancer; fuzzy logic; web-based system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Communications, and Control Technology (I4CT), 2015 International Conference on
Conference_Location :
Kuching
Type :
conf
DOI :
10.1109/I4CT.2015.7219540
Filename :
7219540
Link To Document :
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