IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning

IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning

The results of studying the parameters of the spectra of speech signals by machine learning with the use of neural networks are presented. This study was carried out in order to confirm experimentally the possibility of performing an assessment of these parameters for the detection of Parkinson’s di...

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Bibliographic Details
Main Authors: U. A. Vishniakou, Xia YiWei
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2023-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
machine learning
neural networks
binary classification
hyperparameter optimization
decision tree
sensitivity
precision
Online Access:https://doklady.bsuir.by/jour/article/view/3653
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