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

Author:

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

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.

Publisher

Sciencedomain International

Subject

Geology,Ocean Engineering,Water Science and Technology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Mobile-Based Fuzzy Expert System for Diagnosing COVID-19;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

2. Breast Cancer Detection and Classification Using Hybrid Feature Selection and DenseXtNet Approach;Mathematics;2023-11-22

3. A Novel Fuzzy Frequent Itemsets Mining Approach for the Detection of Breast Cancer;Research Anthology on Medical Informatics in Breast and Cervical Cancer;2022-07-01

4. Detection of Breast Cancer Based on Fuzzy Frequent Itemsets Mining;IRBM;2021-06

5. A Novel Fuzzy Frequent Itemsets Mining Approach for the Detection of Breast Cancer;International Journal of Information Retrieval Research;2021-01

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