Feature Selection and Radial Basis Function Network for Parkinson Disease Classification
Recently, several works have focused on detection of a different disease using computational intelligence techniques. In this paper, we applied feature selection method and radial basis function neural network (RBFN) to classify the diagnosis of Parkinson’s disease. The feature selection (FS) method...
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| Format: | Article |
| Language: | English |
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Sulaimani Polytechnic University - SPU
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/20035/1/Feature%20Selectionand%20Radial%20Basis%20Function%20Network%20for%20ParkinsonDisease%20Classification.pdf |
| _version_ | 1825811882024370176 |
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| author | Ibrahim, Ashraf Osman Hussien, Walaa Akif Yagoop, Ayat Mohammoud Mohd Arfian, Ismail |
| author_facet | Ibrahim, Ashraf Osman Hussien, Walaa Akif Yagoop, Ayat Mohammoud Mohd Arfian, Ismail |
| author_sort | Ibrahim, Ashraf Osman |
| collection | UMP |
| description | Recently, several works have focused on detection of a different disease using computational intelligence techniques. In this paper, we applied feature selection method and radial basis function neural network (RBFN) to classify the diagnosis of Parkinson’s disease. The feature selection (FS) method used to reduce the number of attributes in Parkinson disease data. The Parkinson disease dataset is acquired from UCI repository of large well-known data sets. The experimental results have revealed significant improvement to detect Parkinson’s disease using feature selection method and RBF network. |
| first_indexed | 2024-03-06T12:20:56Z |
| format | Article |
| id | UMPir20035 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:20:56Z |
| publishDate | 2017 |
| publisher | Sulaimani Polytechnic University - SPU |
| record_format | dspace |
| spelling | UMPir200352018-01-29T06:21:52Z http://umpir.ump.edu.my/id/eprint/20035/ Feature Selection and Radial Basis Function Network for Parkinson Disease Classification Ibrahim, Ashraf Osman Hussien, Walaa Akif Yagoop, Ayat Mohammoud Mohd Arfian, Ismail QA75 Electronic computers. Computer science Recently, several works have focused on detection of a different disease using computational intelligence techniques. In this paper, we applied feature selection method and radial basis function neural network (RBFN) to classify the diagnosis of Parkinson’s disease. The feature selection (FS) method used to reduce the number of attributes in Parkinson disease data. The Parkinson disease dataset is acquired from UCI repository of large well-known data sets. The experimental results have revealed significant improvement to detect Parkinson’s disease using feature selection method and RBF network. Sulaimani Polytechnic University - SPU 2017-08-27 Article NonPeerReviewed application/pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/20035/1/Feature%20Selectionand%20Radial%20Basis%20Function%20Network%20for%20ParkinsonDisease%20Classification.pdf Ibrahim, Ashraf Osman and Hussien, Walaa Akif and Yagoop, Ayat Mohammoud and Mohd Arfian, Ismail (2017) Feature Selection and Radial Basis Function Network for Parkinson Disease Classification. Kurdistan Journal of Applied Research, 2 (3). pp. 167-171. ISSN 2411-7706. (Published) http://kjar.spu.edu.iq/index.php/kjar/article/view/137 doi: https://doi.org/10.24017/science.2017.3.121 |
| spellingShingle | QA75 Electronic computers. Computer science Ibrahim, Ashraf Osman Hussien, Walaa Akif Yagoop, Ayat Mohammoud Mohd Arfian, Ismail Feature Selection and Radial Basis Function Network for Parkinson Disease Classification |
| title | Feature Selection and Radial Basis Function Network for Parkinson Disease Classification |
| title_full | Feature Selection and Radial Basis Function Network for Parkinson Disease Classification |
| title_fullStr | Feature Selection and Radial Basis Function Network for Parkinson Disease Classification |
| title_full_unstemmed | Feature Selection and Radial Basis Function Network for Parkinson Disease Classification |
| title_short | Feature Selection and Radial Basis Function Network for Parkinson Disease Classification |
| title_sort | feature selection and radial basis function network for parkinson disease classification |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/20035/1/Feature%20Selectionand%20Radial%20Basis%20Function%20Network%20for%20ParkinsonDisease%20Classification.pdf |
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