Classification of Alzheimer’s Disease Leveraging Multi-task Machine Learning Analysis of Speech and Eye-Movement Data

Classification of Alzheimer’s Disease Leveraging Multi-task Machine Learning Analysis of Speech and Eye-Movement Data

Alzheimer’s disease (AD) is a progressive neurodegenerative condition that results in impaired performance in multiple cognitive domains. Preclinical changes in eye movements and language can occur with the disease, and progress alongside worsening cognition. In this article, we present the results...

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Bibliographic Details
Main Authors: Barral, O. (Author), Carenini, G. (Author), Conati, C. (Author), Field, T.S (Author), Granby, S. (Author), Harisinghani, A. (Author), Jang, H. (Author), Lewis, C. (Author), Newton-Mason, S. (Author), Rizzo, M. (Author), Soroski, T. (Author), Stutz da Cunha Vasco, T.M (Author), Tutt, P. (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
adult
aged
Alzheimer disease
Alzheimer’s disease
Article
classification algorithm
cohort analysis
controlled study
data analysis
diagnostic accuracy
diagnostic test accuracy study
disease classification
eye fixation
eye movement
eye tracking
eye-tracking
feature selection
human
language
machine learning
major clinical study
memory disorder
mild cognitive impairment
multimodal
sensitivity and specificity
speech
subjective memory complaint
task performance
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