Transformer-based deep neural network language models for Alzheimer’s disease risk assessment from targeted speech

BACKGROUND: We developed transformer-based deep learning models based on natural language processing for early risk assessment of Alzheimer’s disease from the picture description test. METHODS: The lack of large datasets poses the most important limitation for using complex models that do not requir...

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Detalles Bibliográficos
Autores principales: Roshanzamir, Alireza, Aghajan, Hamid, Soleymani Baghshah, Mahdieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971114/
https://www.ncbi.nlm.nih.gov/pubmed/33750385
http://dx.doi.org/10.1186/s12911-021-01456-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971114/
https://www.ncbi.nlm.nih.gov/pubmed/33750385
http://dx.doi.org/10.1186/s12911-021-01456-3

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