Automatically Calculated Context-Sensitive Features of Connected Speech Improve Prediction of Impairment in Alzheimer's Disease.

Purpose: Early detection is critical for effective management of Alzheimer's disease (AD) and other dementias. One promising approach for predicting AD status is to automatically calculate linguistic features from open-ended connected speech. Past work has focused on individual word-level features s...

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Bibliographic Details
Published in:	Journal of Speech, Language & Hearing Research Vol. 68; no. 11; pp. 5341 - 5363
Main Authors:	Flick, Graham, Ostrand, Rachel
Format:	Article
Published:	American Speech-Language-Hearing Association Nov2025
Subjects:	Linguistics Discourse analysis Speech evaluation Statistical models Pearson correlation (Statistics) Alzheimer's disease Research funding Secondary analysis Receiver operating characteristic curves Data analysis Multiple regression analysis Logistic regression analysis Descriptive statistics Natural language processing Research Statistics
Online Access:	View this record in EBSCOhost