Assessment of Acoustic Features and Machine Learning for Parkinson's Detection

This article presents a machine learning approach for Parkinson's disease detection. Potential multiple acoustic signal features of Parkinson's and control subjects are ascertained. A collaborated feature bank is created through correlated feature selection, Fisher score feature selection,...

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Detalles Bibliográficos
Autores principales: Pramanik, Moumita, Pradhan, Ratika, Nandy, Parvati, Qaisar, Saeed Mian, Bhoi, Akash Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405321/
https://www.ncbi.nlm.nih.gov/pubmed/34471507
http://dx.doi.org/10.1155/2021/9957132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405321/
https://www.ncbi.nlm.nih.gov/pubmed/34471507
http://dx.doi.org/10.1155/2021/9957132

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