A Fuzzy Expert System for the Diagnosis of Coronary Artery Disease
Millions of people encounter coronary artery disease annually, and this disease constitutes a large number of patients. Although considerable progress has been made in medical science, but the early detection of this disease is still a challenging issue. The aim of this paper is to describe developi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Allameh Tabataba'i University Press
2018-09-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| Subjects: | |
| Online Access: | https://jims.atu.ac.ir/article_9105_4fd53aa76d528c02a12c6efe406a87d3.pdf |
| _version_ | 1797367694353235968 |
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| author | Reza Yousefi Zenouz Reza Olamaie Somayeh Olamaie |
| author_facet | Reza Yousefi Zenouz Reza Olamaie Somayeh Olamaie |
| author_sort | Reza Yousefi Zenouz |
| collection | DOAJ |
| description | Millions of people encounter coronary artery disease annually, and this disease constitutes a large number of patients. Although considerable progress has been made in medical science, but the early detection of this disease is still a challenging issue. The aim of this paper is to describe developing a fuzzy expert system that will help to detect CAD at an early stage. Rules were extracted with the aid of doctors and fuzzy approach was taken to cope with the present uncertainty in the medical domain. The results indicate a high level of correct detection of normal and abnormal groups of people. The suggested methodology can help the doctors in medical diagnosis |
| first_indexed | 2024-03-08T17:21:53Z |
| format | Article |
| id | doaj.art-8537ef61d5e14cbfb1e7bff697341959 |
| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:21:53Z |
| publishDate | 2018-09-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-8537ef61d5e14cbfb1e7bff6973419592024-01-03T04:45:08ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2018-09-011650275210.22054/jims.2018.91059105A Fuzzy Expert System for the Diagnosis of Coronary Artery DiseaseReza Yousefi Zenouz0Reza Olamaie1Somayeh Olamaie2استادیار گروه مدیریت عملیات و فناوری اطلاعات دانشگاه خوارزمی (نویسنده مسئول)متخصص پزشکی هسته ای، مرکز پزشکی هسته ای یاسکارشناس ارشد مدیریت فناوری اطلاعات دانشگاه خوارزمیMillions of people encounter coronary artery disease annually, and this disease constitutes a large number of patients. Although considerable progress has been made in medical science, but the early detection of this disease is still a challenging issue. The aim of this paper is to describe developing a fuzzy expert system that will help to detect CAD at an early stage. Rules were extracted with the aid of doctors and fuzzy approach was taken to cope with the present uncertainty in the medical domain. The results indicate a high level of correct detection of normal and abnormal groups of people. The suggested methodology can help the doctors in medical diagnosishttps://jims.atu.ac.ir/article_9105_4fd53aa76d528c02a12c6efe406a87d3.pdfcoronary artery diseasefuzzy expert systemfuzzy rulesfuzzy logic |
| spellingShingle | Reza Yousefi Zenouz Reza Olamaie Somayeh Olamaie A Fuzzy Expert System for the Diagnosis of Coronary Artery Disease Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī coronary artery disease fuzzy expert system fuzzy rules fuzzy logic |
| title | A Fuzzy Expert System for the Diagnosis of Coronary Artery Disease |
| title_full | A Fuzzy Expert System for the Diagnosis of Coronary Artery Disease |
| title_fullStr | A Fuzzy Expert System for the Diagnosis of Coronary Artery Disease |
| title_full_unstemmed | A Fuzzy Expert System for the Diagnosis of Coronary Artery Disease |
| title_short | A Fuzzy Expert System for the Diagnosis of Coronary Artery Disease |
| title_sort | fuzzy expert system for the diagnosis of coronary artery disease |
| topic | coronary artery disease fuzzy expert system fuzzy rules fuzzy logic |
| url | https://jims.atu.ac.ir/article_9105_4fd53aa76d528c02a12c6efe406a87d3.pdf |
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