An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine
Parkinson disease is a major public health problem all around the world. This paper proposes an expert disease diagnosis system for Parkinson disease based on genetic algorithm- (GA-) wavelet kernel- (WK-) Extreme Learning Machines (ELM). The classifier used in this paper is single layer neural netw...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Parkinson's Disease |
| Online Access: | http://dx.doi.org/10.1155/2016/5264743 |
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| author | Derya Avci Akif Dogantekin |
| author_facet | Derya Avci Akif Dogantekin |
| author_sort | Derya Avci |
| collection | DOAJ |
| description | Parkinson disease is a major public health problem all around the world. This paper proposes an expert disease diagnosis system for Parkinson disease based on genetic algorithm- (GA-) wavelet kernel- (WK-) Extreme Learning Machines (ELM). The classifier used in this paper is single layer neural network (SLNN) and it is trained by the ELM learning method. The Parkinson disease datasets are obtained from the UCI machine learning database. In wavelet kernel-Extreme Learning Machine (WK-ELM) structure, there are three adjustable parameters of wavelet kernel. These parameters and the numbers of hidden neurons play a major role in the performance of ELM. In this study, the optimum values of these parameters and the numbers of hidden neurons of ELM were obtained by using a genetic algorithm (GA). The performance of the proposed GA-WK-ELM method is evaluated using statical methods such as classification accuracy, sensitivity and specificity analysis, and ROC curves. The calculated highest classification accuracy of the proposed GA-WK-ELM method is found as 96.81%. |
| format | Article |
| id | doaj-art-cf97deec2230441a8526defdb39226bc |
| institution | Kabale University |
| issn | 2090-8083 2042-0080 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Parkinson's Disease |
| spelling | doaj-art-cf97deec2230441a8526defdb39226bc2025-02-03T01:20:26ZengWileyParkinson's Disease2090-80832042-00802016-01-01201610.1155/2016/52647435264743An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning MachineDerya Avci0Akif Dogantekin1Department of Electrical and Electronic Engineering, Engineering Faculty, Firat University, 23119 Elazig, TurkeyEmek Hospital, Gaziantep, TurkeyParkinson disease is a major public health problem all around the world. This paper proposes an expert disease diagnosis system for Parkinson disease based on genetic algorithm- (GA-) wavelet kernel- (WK-) Extreme Learning Machines (ELM). The classifier used in this paper is single layer neural network (SLNN) and it is trained by the ELM learning method. The Parkinson disease datasets are obtained from the UCI machine learning database. In wavelet kernel-Extreme Learning Machine (WK-ELM) structure, there are three adjustable parameters of wavelet kernel. These parameters and the numbers of hidden neurons play a major role in the performance of ELM. In this study, the optimum values of these parameters and the numbers of hidden neurons of ELM were obtained by using a genetic algorithm (GA). The performance of the proposed GA-WK-ELM method is evaluated using statical methods such as classification accuracy, sensitivity and specificity analysis, and ROC curves. The calculated highest classification accuracy of the proposed GA-WK-ELM method is found as 96.81%.http://dx.doi.org/10.1155/2016/5264743 |
| spellingShingle | Derya Avci Akif Dogantekin An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine Parkinson's Disease |
| title | An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine |
| title_full | An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine |
| title_fullStr | An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine |
| title_full_unstemmed | An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine |
| title_short | An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine |
| title_sort | expert diagnosis system for parkinson disease based on genetic algorithm wavelet kernel extreme learning machine |
| url | http://dx.doi.org/10.1155/2016/5264743 |
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