Predicting clinical scores in Huntington’s disease: a lightweight speech test

OBJECTIVES: Using brief samples of speech recordings, we aimed at predicting, through machine learning, the clinical performance in Huntington’s Disease (HD), an inherited Neurodegenerative disease (NDD). METHODS: We collected and analyzed 126 samples of audio recordings of both forward and backward...

Descripción completa

Detalles Bibliográficos
Autores principales: Riad, Rachid, Lunven, Marine, Titeux, Hadrien, Cao, Xuan-Nga, Hamet Bagnou, Jennifer, Lemoine, Laurie, Montillot, Justine, Sliwinski, Agnes, Youssov, Katia, Cleret de Langavant, Laurent, Dupoux, Emmanuel, Bachoud-Lévi, Anne-Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363375/
https://www.ncbi.nlm.nih.gov/pubmed/35567614
http://dx.doi.org/10.1007/s00415-022-11148-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363375/
https://www.ncbi.nlm.nih.gov/pubmed/35567614
http://dx.doi.org/10.1007/s00415-022-11148-1

Ejemplares similares