Open AccessA Genetic-Fuzzy System Algorithm Method for the Breast Cancer Diagnosis Problem
Author(s) -
Normalisa
Publication year - 2021
Publication title -
international journal of artificial intelligence (batam)/international journal of artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2686-3251
pISSN - 2407-7275
DOI - 10.36079/lamintang.ijai-0802.302
Subject(s) - breast cancer , fuzzy inference system , algorithm , computer science , cancer , fuzzy logic , genetic algorithm , medical diagnosis , medicine , machine learning , artificial intelligence , fuzzy control system , adaptive neuro fuzzy inference system , radiology
Breast cancer is an important medical problem, especially for women, computer-aided medical diagnosis is very important in terms of prevention and early detection. This paper presents early detection of breast cancer using two methods, namely genetic algorithm and fuzzy inference system which will be used for early detection of breast cancer which will be used by doctors with computer assistance to obtain medical diagnosis of breast cancer in Indonesia. Our research shows that the diagnosis of breast cancer using these two methods has a high level of accuracy.