Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia

Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia

Abstract Background Language impairment is an important marker of neurodegenerative disorders. Despite this, there is no universal system of terminology used to describe these impairments and large inter-rater variability can exist between clinicians assessing language. The use of natural language p...

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Bibliographic Details
Main Authors: Anthony Yeung, Andrea Iaboni, Elizabeth Rochon, Monica Lavoie, Calvin Santiago, Maria Yancheva, Jekaterina Novikova, Mengdan Xu, Jessica Robin, Liam D. Kaufman, Fariya Mostafa
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Alzheimer’s Research & Therapy
Subjects:
Natural language processing
Automated speech analysis
Markers
Machine learning
Alzheimer’s
Dementia
Online Access:https://doi.org/10.1186/s13195-021-00848-x

Internet

https://doi.org/10.1186/s13195-021-00848-x

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