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

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

Published Online: 2021-06-04

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yeung, Anthony http://orcid.org/0000-0002-2029-4515
Iaboni, Andrea

Rochon, Elizabeth

Lavoie, Monica

Santiago, Calvin

Yancheva, Maria

Novikova, Jekaterina

Xu, Mengdan

Robin, Jessica

Kaufman, Liam D.

Mostafa, Fariya
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Text and Data Mining valid from 2021-06-04

Version of Record valid from 2021-06-04
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Article History

Received: 23 October 2020

Accepted: 24 May 2021

First Online: 4 June 2021

Declarations

:

: The data were recorded as part of the Alzheimer’s Research Program at the University of Pittsburgh. Data collection was approved by local institutional review boards, and all participants provided informed consent.

: All authors have approved of the manuscript and agree with its submission.

: AY is a consultant for Winterlight Labs. AB is a scientific advisor for Winterlight Labs. MY and LK are co-founders of Winterlight Labs. JN, MX, JR, and FM are employees of Winterlight Labs. ER, ML, and CS have no declarations.

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