An Intelligent Parkinson’s Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach
Joint Authors
Chen, Hui-ling
Cai, Zhennao
Gu, Jianhua
Wen, Caiyun
Zhao, Dong
Huang, Chunyu
Huang, Hui
Tong, Changfei
Li, Jun
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-21
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
Parkinson's disease (PD) is a common neurodegenerative disease, which has attracted more and more attention.
Many artificial intelligence methods have been used for the diagnosis of PD.
In this study, an enhanced fuzzy k-nearest neighbor (FKNN) method for the early detection of PD based upon vocal measurements was developed.
The proposed method, an evolutionary instance-based learning approach termed CBFO-FKNN, was developed by coupling the chaotic bacterial foraging optimization with Gauss mutation (CBFO) approach with FKNN.
The integration of the CBFO technique efficiently resolved the parameter tuning issues of the FKNN.
The effectiveness of the proposed CBFO-FKNN was rigorously compared to those of the PD datasets in terms of classification accuracy, sensitivity, specificity, and AUC (area under the receiver operating characteristic curve).
The simulation results indicated the proposed approach outperformed the other five FKNN models based on BFO, particle swarm optimization, Genetic algorithms, fruit fly optimization, and firefly algorithm, as well as three advanced machine learning methods including support vector machine (SVM), SVM with local learning-based feature selection, and kernel extreme learning machine in a 10-fold cross-validation scheme.
The method presented in this paper has a very good prospect, which will bring great convenience to the clinicians to make a better decision in the clinical diagnosis.
American Psychological Association (APA)
Cai, Zhennao& Gu, Jianhua& Wen, Caiyun& Zhao, Dong& Huang, Chunyu& Huang, Hui…[et al.]. 2018. An Intelligent Parkinson’s Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-24.
https://search.emarefa.net/detail/BIM-1131832
Modern Language Association (MLA)
Cai, Zhennao…[et al.]. An Intelligent Parkinson’s Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-24.
https://search.emarefa.net/detail/BIM-1131832
American Medical Association (AMA)
Cai, Zhennao& Gu, Jianhua& Wen, Caiyun& Zhao, Dong& Huang, Chunyu& Huang, Hui…[et al.]. An Intelligent Parkinson’s Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-24.
https://search.emarefa.net/detail/BIM-1131832
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131832