An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging
Intelligent assistant systems have been focused in many researches for managing uncertainties in medical diagnosis in the recent years. Due to vagueness in diagnosis of Breast cancer stages which is one of the major cause of death in women, early diagnosis of stages of this cancer can help physician...
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University of Qom
2023-03-01
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| Series: | مدیریت مهندسی و رایانش نرم |
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| Online Access: | https://jemsc.qom.ac.ir/article_1847_1f9194850b1b45755cc54e554a429d09.pdf |
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| author | Leila Honari mahmod Rahil Hosseini Mahd Mazinani |
| author_facet | Leila Honari mahmod Rahil Hosseini Mahd Mazinani |
| author_sort | Leila Honari mahmod |
| collection | DOAJ |
| description | Intelligent assistant systems have been focused in many researches for managing uncertainties in medical diagnosis in the recent years. Due to vagueness in diagnosis of Breast cancer stages which is one of the major cause of death in women, early diagnosis of stages of this cancer can help physicians to choose the best treatment option. In this research, an intelligentModel based on fuzzy logic has been presented to manage uncertainty associated with input and outputs in the diagnosis of stages of breast cancer. This model implements human experience with membership functions and fuzzy rules and is a general method for combining knowledge, intelligent technology, control and decision making. In this study, the medical records of 400 patients with breast cancer with 3 features were studied and their results were evaluated by a group of experts. The results of the system efficiency were investigated using an ROC curve analysis method. The specificity, sensitivity and accuracy in steps 1, 4 of the Breast cancer were (97/50%, 98/43% ), in order. |
| format | Article |
| id | doaj-art-f807931e31794a83ac5d0d7017589cfe |
| institution | Kabale University |
| issn | 2538-6239 2538-2675 |
| language | fas |
| publishDate | 2023-03-01 |
| publisher | University of Qom |
| record_format | Article |
| series | مدیریت مهندسی و رایانش نرم |
| spelling | doaj-art-f807931e31794a83ac5d0d7017589cfe2025-01-30T20:18:25ZfasUniversity of Qomمدیریت مهندسی و رایانش نرم2538-62392538-26752023-03-018229431847An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer StagingLeila Honari mahmod0Rahil Hosseini1Mahd Mazinani2MSc. Faculty of Engineering, Department of Computer Engineering, Islamic Azad University, Tehran, Iran. Email: rahil.hosseini@qodsiau.ac.irAssistant Prof., Faculty of Engineering, Department of Computer Engineering, Islamic Azad University, Tehran, Iran. Email: leilahonari@gmail.comAssistant Prof., Faculty of Engineering, Department of Electrical Engineering, Islamic Azad University, Tehran, Iran. Email: Mahdi.mazinani@qodsiau.ac.irIntelligent assistant systems have been focused in many researches for managing uncertainties in medical diagnosis in the recent years. Due to vagueness in diagnosis of Breast cancer stages which is one of the major cause of death in women, early diagnosis of stages of this cancer can help physicians to choose the best treatment option. In this research, an intelligentModel based on fuzzy logic has been presented to manage uncertainty associated with input and outputs in the diagnosis of stages of breast cancer. This model implements human experience with membership functions and fuzzy rules and is a general method for combining knowledge, intelligent technology, control and decision making. In this study, the medical records of 400 patients with breast cancer with 3 features were studied and their results were evaluated by a group of experts. The results of the system efficiency were investigated using an ROC curve analysis method. The specificity, sensitivity and accuracy in steps 1, 4 of the Breast cancer were (97/50%, 98/43% ), in order.https://jemsc.qom.ac.ir/article_1847_1f9194850b1b45755cc54e554a429d09.pdfbreast cancerfuzzy logicmamdani fuzzy inference systemmodelling uncertainty |
| spellingShingle | Leila Honari mahmod Rahil Hosseini Mahd Mazinani An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging مدیریت مهندسی و رایانش نرم breast cancer fuzzy logic mamdani fuzzy inference system modelling uncertainty |
| title | An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging |
| title_full | An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging |
| title_fullStr | An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging |
| title_full_unstemmed | An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging |
| title_short | An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging |
| title_sort | intelligent fuzzy model for managing uncertainty in diagnosis of the breast cancer staging |
| topic | breast cancer fuzzy logic mamdani fuzzy inference system modelling uncertainty |
| url | https://jemsc.qom.ac.ir/article_1847_1f9194850b1b45755cc54e554a429d09.pdf |
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