A New Hybrid Intelligent Framework for Predicting Parkinson’s Disease

A New Hybrid Intelligent Framework for Predicting Parkinson’s Disease

Parkinson's disease (PD) is a progressive neurodegenerative motor system disorder. Early diagnosis of PD is important to control the symptoms appropriately. Recent voice and speech recognition techniques provide alternative solutions for PD screening. In this paper, an optimal support vector ma...

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Bibliographic Details
Main Authors: Zhennao Cai, Jianhua Gu, Hui-Ling Chen
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Bacterial foraging optimization
disease diagnosis
medical diagnosis
parameter optimization
parkinson’s disease diagnosis
support vector machines
Online Access:https://ieeexplore.ieee.org/document/8016562/

Internet

https://ieeexplore.ieee.org/document/8016562/

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