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dc.contributor.authorDiaz-Asper, Catherine
dc.contributor.authorChandler, Chelsea
dc.contributor.authorTurner, Raymond S.
dc.contributor.authorReynolds, Brigid
dc.contributor.authorElvevåg, Brita
dc.date.accessioned2023-03-13T11:49:27Z
dc.date.available2023-03-13T11:49:27Z
dc.date.issued2022-08-30
dc.description.abstractBarriers to healthcare access are widespread in elderly populations, with a major consequence that older people are not benefiting from the latest technologies to diagnose disease. Recent advances in the automated analysis of speech show promising results in the identification of cognitive decline associated with Alzheimer's disease (AD), as well as its purported pre-clinical stage. We utilized automated methods to analyze speech recorded over the telephone in 91 community-dwelling older adults diagnosed with mild AD, amnestic mild cognitive impairment (aMCI) or cognitively healthy. We asked whether natural language processing (NLP) and machine learning could more accurately identify groups than traditional screening tools and be sensitive to subtle differences in speech between the groups. Despite variable recording quality, NLP methods differentiated the three groups with greater accuracy than two traditional dementia screeners and a clinician who read transcripts of their speech. Imperfect speech data collected via a telephone is of sufficient quality to be examined with the latest speech technologies. Critically, these data reveal significant differences in speech that closely match the clinical diagnoses of AD, aMCI and healthy control.en_US
dc.identifier.citationDiaz-Asper, Chandler, Turner, Reynolds, Elvevåg. Increasing access to cognitive screening in the elderly: Applying natural language processing methods to speech collected over the telephone. Cortex. 2022;156:26-38en_US
dc.identifier.cristinIDFRIDAID 2074944
dc.identifier.doi10.1016/j.cortex.2022.08.005
dc.identifier.issn0010-9452
dc.identifier.issn1973-8102
dc.identifier.urihttps://hdl.handle.net/10037/28718
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalCortex
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleIncreasing access to cognitive screening in the elderly: Applying natural language processing methods to speech collected over the telephoneen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)