An intelligent Parkinson's disease diagnostic system based on a chaotic bacterial foraging optimization enhanced fuzzy KNN approach
DOI10.1155/2018/2396952zbMath1411.92131OpenAlexW2808797111WikidataQ62495317 ScholiaQ62495317MaRDI QIDQ1734385
Zhennao Cai, Jun Li, Jianhua Gu, Hui Huang, Caiyun Wen, Dong Zhao, Hui ling Chen, Chun Yu Huang, Chang-Fei Tong
Publication date: 27 March 2019
Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2018/2396952
Parkinson's disease diagnosischaotic bacterial foraging optimizationfuzzy \(k\)-nearest neighbor method
Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Medical applications (general) (92C50) Software, source code, etc. for problems pertaining to biology (92-04)
Uses Software
Cites Work
- Unnamed Item
- Firefly algorithm with chaos
- Structural learning of Bayesian networks by bacterial foraging optimization
- Continuous control and synchronization in chaotic systems
- A New Metaheuristic Bat-Inspired Algorithm
- Flower Pollination Algorithm for Global Optimization
- An ensemble ofk-nearest neighbours algorithm for detection of Parkinson's disease
- Classification of Parkinson's disease using feature weighting method on the basis of fuzzy C-means clustering
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