Analysis of voice recordings features for Classification of Parkinson's Disease
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- Analysis of voice recordings features for Classification of Parkinson's Disease
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Multiclass classification of Parkinson's disease using different classifiers and LLBFS feature selection algorithm
Since approximately 90% of the people with PD (Parkinson's disease) suffer from speech disorders including disorders of laryngeal, respiratory and articulatory function, using voice analysis disease can be diagnosed remotely at an early stage with more ...
Human Voice Waveform Analysis for Categorization of Healthy and Parkinson Subjects
Parkinson disease is a neurological disorder. In this disease control over body muscles get disturbed. In almost 90% of the cases, people suffering from Parkinson disease PD have speech disorders. The goal of the paper is to differentiate healthy and PD ...
Feature Selection Based Machine Learning to Improve Prediction of Parkinson Disease
Brain InformaticsAbstractParkinson’s disease (PD) is a kind of neurodegenerative disorder characterized by the loss of dopamine-producing cells in the brain. The disruption of brain cells that create dopamine, a chemical that allows brain cells to connect with one another,...
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- National Plan for Scientific and Technical Research and Innovation of the Spanish Government
- Xunta de Galicia
- Consellería de Educación, Universidade e Formación Profesional of the Xunta de Galicia
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