Random Forest Algorithm Based on Speech for Early Identification of Parkinson's Disease

To investigate the effectiveness of identifying patients with Parkinson's disease (PD) from speech signals, various acoustic parameters including prosodic and segmental features are extracted from speech and then the random forest classification (RF) algorithm based on these acoustic parameters...

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Detalles Bibliográficos
Autor principal: Fan, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110120/
https://www.ncbi.nlm.nih.gov/pubmed/35586090
http://dx.doi.org/10.1155/2022/3287068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110120/
https://www.ncbi.nlm.nih.gov/pubmed/35586090
http://dx.doi.org/10.1155/2022/3287068

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