Classification of Autism Disorder Severity Using Fuzzy Methods Based on Soft Computing
A significant proportion of population in each community suffer from autism disorder. One of the challenges in diagnosing autism is the uncertainty in determining the severity of the disease. To this end, fuzzy systems based methods have been adopted in this study. The presented methods are based on...
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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_1610_8b3d07f8105305b0c99c754bb4145c16.pdf |
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| author | Nahid Saberipour Mahdi Mazinani Rahil Hosseini |
| author_facet | Nahid Saberipour Mahdi Mazinani Rahil Hosseini |
| author_sort | Nahid Saberipour |
| collection | DOAJ |
| description | A significant proportion of population in each community suffer from autism disorder. One of the challenges in diagnosing autism is the uncertainty in determining the severity of the disease. To this end, fuzzy systems based methods have been adopted in this study. The presented methods are based on 112 data driven from children and adolescents between the ages of 3 to 14 years. These data were collected from various rehabilitation centers in Tehran. The average performance accuracy of the proposed methods Using Genetic Algorithm with area under curve ROC compared to other methods (adaptive fuzzy neural inference system algorithm) proved to be 97/4% more reliable and efficient. The system designed in this article can be used as a medical diagnostics help tool for physicians. |
| format | Article |
| id | doaj-art-1eef4f0a9a8a457794d03f02bd70912d |
| 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-1eef4f0a9a8a457794d03f02bd70912d2025-01-30T20:18:25ZfasUniversity of Qomمدیریت مهندسی و رایانش نرم2538-62392538-26752023-03-018272911610Classification of Autism Disorder Severity Using Fuzzy Methods Based on Soft ComputingNahid Saberipour0Mahdi Mazinani1Rahil Hosseini2Master of Computer Engineering, Faculty of Engineering, Ghods Branch, Islamic Azad University, Tehran, Iran. Email: saberipour.n@gmail.comAssistant Professor, Faculty of Engineering, Ghods Branch, Islamic Azad University, Tehran, Iran. Email: mahdi.mazinani@qodsiau.ac.irAssistant Professor, Faculty of Engineering, Ghods Branch, Islamic Azad University, Tehran, Iran. Email: rahil.hosseini@gmail.comA significant proportion of population in each community suffer from autism disorder. One of the challenges in diagnosing autism is the uncertainty in determining the severity of the disease. To this end, fuzzy systems based methods have been adopted in this study. The presented methods are based on 112 data driven from children and adolescents between the ages of 3 to 14 years. These data were collected from various rehabilitation centers in Tehran. The average performance accuracy of the proposed methods Using Genetic Algorithm with area under curve ROC compared to other methods (adaptive fuzzy neural inference system algorithm) proved to be 97/4% more reliable and efficient. The system designed in this article can be used as a medical diagnostics help tool for physicians.https://jemsc.qom.ac.ir/article_1610_8b3d07f8105305b0c99c754bb4145c16.pdfautism disorderadaptive neural-fuzzy inference systemgars testgenetic algorithmfuzzy system |
| spellingShingle | Nahid Saberipour Mahdi Mazinani Rahil Hosseini Classification of Autism Disorder Severity Using Fuzzy Methods Based on Soft Computing مدیریت مهندسی و رایانش نرم autism disorder adaptive neural-fuzzy inference system gars test genetic algorithm fuzzy system |
| title | Classification of Autism Disorder Severity Using Fuzzy Methods Based on Soft Computing |
| title_full | Classification of Autism Disorder Severity Using Fuzzy Methods Based on Soft Computing |
| title_fullStr | Classification of Autism Disorder Severity Using Fuzzy Methods Based on Soft Computing |
| title_full_unstemmed | Classification of Autism Disorder Severity Using Fuzzy Methods Based on Soft Computing |
| title_short | Classification of Autism Disorder Severity Using Fuzzy Methods Based on Soft Computing |
| title_sort | classification of autism disorder severity using fuzzy methods based on soft computing |
| topic | autism disorder adaptive neural-fuzzy inference system gars test genetic algorithm fuzzy system |
| url | https://jemsc.qom.ac.ir/article_1610_8b3d07f8105305b0c99c754bb4145c16.pdf |
| work_keys_str_mv | AT nahidsaberipour classificationofautismdisorderseverityusingfuzzymethodsbasedonsoftcomputing AT mahdimazinani classificationofautismdisorderseverityusingfuzzymethodsbasedonsoftcomputing AT rahilhosseini classificationofautismdisorderseverityusingfuzzymethodsbasedonsoftcomputing |