A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics
The paper aims to propose a distributed method for machine learning models and its application for medical data analysis. The great challenge in the medicine field is to provide a scalable image processing model, which integrates the computing processing requirements and computing-aided medical deci...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2020/6539123 |
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| _version_ | 1850212965388648448 |
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| author | Fatéma Zahra Benchara Mohamed Youssfi |
| author_facet | Fatéma Zahra Benchara Mohamed Youssfi |
| author_sort | Fatéma Zahra Benchara |
| collection | DOAJ |
| description | The paper aims to propose a distributed method for machine learning models and its application for medical data analysis. The great challenge in the medicine field is to provide a scalable image processing model, which integrates the computing processing requirements and computing-aided medical decision making. The proposed Fuzzy logic method is based on a distributed approach of type-2 Fuzzy logic algorithm and merges the HPC (High Performance Computing) and cognitive aspect on one model. Accordingly, the method is assigned to be implemented on big data analysis and data science prediction models for healthcare applications. The paper focuses on the proposed distributed Type-2 Fuzzy Logic (DT2FL) method and its application for MRI data analysis under a massively parallel and distributed virtual mobile agent architecture. Indeed, the paper presents some experimental results which highlight the accuracy and efficiency of the proposed method. |
| format | Article |
| id | doaj-art-8be3515b0250443fbfaa5cc3e51146e0 |
| institution | OA Journals |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-8be3515b0250443fbfaa5cc3e51146e02025-08-20T02:09:13ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2020-01-01202010.1155/2020/65391236539123A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical InformaticsFatéma Zahra Benchara0Mohamed Youssfi1Department of Computer Science, Laboratory SSDIA, ENSET Mohammedia, Hassan II University of Casablanca, Casablanca, MoroccoDepartment of Computer Science, Laboratory SSDIA, ENSET Mohammedia, Hassan II University of Casablanca, Casablanca, MoroccoThe paper aims to propose a distributed method for machine learning models and its application for medical data analysis. The great challenge in the medicine field is to provide a scalable image processing model, which integrates the computing processing requirements and computing-aided medical decision making. The proposed Fuzzy logic method is based on a distributed approach of type-2 Fuzzy logic algorithm and merges the HPC (High Performance Computing) and cognitive aspect on one model. Accordingly, the method is assigned to be implemented on big data analysis and data science prediction models for healthcare applications. The paper focuses on the proposed distributed Type-2 Fuzzy Logic (DT2FL) method and its application for MRI data analysis under a massively parallel and distributed virtual mobile agent architecture. Indeed, the paper presents some experimental results which highlight the accuracy and efficiency of the proposed method.http://dx.doi.org/10.1155/2020/6539123 |
| spellingShingle | Fatéma Zahra Benchara Mohamed Youssfi A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics Advances in Fuzzy Systems |
| title | A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics |
| title_full | A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics |
| title_fullStr | A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics |
| title_full_unstemmed | A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics |
| title_short | A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics |
| title_sort | new distributed type 2 fuzzy logic method for efficient data science models of medical informatics |
| url | http://dx.doi.org/10.1155/2020/6539123 |
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