Open AccessE.B.C.D Apps
Author(s) -
Umi Hanim Mazlan,
Mazlyfarina Mohamad,
Wan Salwina Wan Ismail,
Raihana Zainordin,
Nurul Hidayah Ab Raji
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6346.118419
Subject(s) - breast cancer , stage (stratigraphy) , medicine , disease , breast self examination , cancer , fuzzy logic , computer science , pathology , artificial intelligence , biology , paleontology
Breast cancer is a life threatening disease that occurs when an unconstrained and irregular breast cell develops. There are five stages of breast cancer where stage 0 is considered as the early stage since the cancer cells are not spread outside of ducts yet. In this stage, the early symptoms are possible to be detected and if it is swiftly diagnosed, the probability that the cancer to be successfully treated is very high. Breast Self Examination (BSE) is one of the recommended screening methods but it is reported to be confusing and inconsistent. This is because BSE only provide guidelines for breast examination. It does not give any result that user can rely on. Therefore, this research aims to develop a mobile application which applies fuzzy logic method and adopts BSE process to help a person diagnose the early stage of breast cancer.