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

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

Abstract 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...

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Bibliographic Details
Main Authors: Alireza Roshanzamir, Hamid Aghajan, Mahdieh Soleymani Baghshah
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Alzheimer’s disease
Early risk assessment
Picture description test
Deep learning
Transformer
Natural language processing
Online Access:https://doi.org/10.1186/s12911-021-01456-3

Internet

https://doi.org/10.1186/s12911-021-01456-3

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