Automated Detection of Parkinson's Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network

Objective: Parkinson's disease (PD) is a serious neurodegenerative disorder. It is reported that most of PD patients have voice impairments. But these voice impairments are not perceptible to common listeners. Therefore, different machine learning methods have been developed for automated PD de...

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Vydané v:	IEEE journal of translational engineering in health and medicine Ročník 7; s. 1 - 10
Hlavní autori:	Ali, Liaqat, Zhu, Ce, Zhang, Zhonghao, Liu, Yipeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Artificial intelligence Automation Classification Correlation coefficients deep neural network Diagnostic systems Dimensionality reduction Discriminant analysis Diseases Feature extraction genetic algorithm Genetic algorithms Hybrid systems hyper-parameter optimization linear discriminant analysis Machine learning Neural networks Optimization Parkinson's disease Support vector machines Testing Training Voice Dimensionality reduction genetic algorithm hyper-parameter optimization linear discriminant analysis Parkinson’s disease deep neural network
ISSN:	2168-2372, 2168-2372
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