Design and Implementation of a Fuzzy Expert System for Diagnosing Breast Cancer

Main Article Content

F. M. Okikiola
E. E. Aigbokhan
A. M. Mustapha
I. O. Onadokun
O. A. Akinade

Abstract

The death rate is caused by breast cancer in women is increasingly high and growing. A number of people are getting to lose this part of their body due to late diagnosis of this disease. This therefore requires the development of an efficient and accurate diagnosis approach that will aid providing the knowledge of the type of breast cancer type and severity in order to reduce the mortality rate through the disease. This need serves as the major motivation for this work. In this paper, we proposed a fuzzy expert system for diagnosis of and treatment recommendation of breast cancer problems which provide physicians and patients with information of the cancer type and treatment recommendation. The application was designed using JAVA programming language, MATLAB and SQLite database engine. This application permits update of new information as a means of knowledge. The evaluation showed that the inclusion of the fuzzy inference system improved the accuracy and precision of the system from 0.8 to 0.9. The system is user-friendly and has high level of acceptability from the validation conducted at the end of the research.

Keywords:
Breast cancer, fuzzy, expert system, diagnosis, treatment recommendation

Article Details

How to Cite
Okikiola, F. M., Aigbokhan, E. E., Mustapha, A. M., Onadokun, I. O., & Akinade, O. A. (2019). Design and Implementation of a Fuzzy Expert System for Diagnosing Breast Cancer. Journal of Advances in Mathematics and Computer Science, 32(1), 1-14. https://doi.org/10.9734/jamcs/2019/v32i130137
Section
Original Research Article

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