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dc.contributor.authorChandler, Chelsea
dc.contributor.authorDiaz-Asper, Catherine
dc.contributor.authorTurner, Raymond S.
dc.contributor.authorReynolds, Brigid
dc.contributor.authorElvevåg, Brita
dc.date.accessioned2024-01-15T11:16:42Z
dc.date.available2024-01-15T11:16:42Z
dc.date.issued2023-11-27
dc.description.abstractIntroduction: Traditional Alzheimer’s disease (AD) and mild cognitive impairment (MCI) screening lacks the sensitivity and timeliness required to detect subtle indicators of cognitive decline. Multimodal artificial intelligence technologies using only speech data promise improved detection of neurodegenerative disorders.<p> <p>Methods: Speech collected over the telephone from 91 older participants who were cognitively healthy (n = 29) or had diagnoses of AD (n = 30) or amnestic MCI (aMCI; n = 32) was analyzed with multimodal natural language and speech processing methods. An explainable ensemble decision tree classifier for the multiclass prediction of cognitive decline was created. <p>Results: This approach was 75% accurate overall—an improvement over traditional speech-based screening tools and a unimodal language-based model. We include a dashboard for the examination of the results, allowing for novel ways of interpreting such data. <p>Discussion: This work provides a foundation for a meaningful change in medicine as clinical translation, scalability, and user friendliness were core to the methodologies.en_US
dc.identifier.citationChandler, Diaz-Asper, Turner, Reynolds, Elvevåg. An explainable machine learning model of cognitive decline derived from speech. Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 2023;15(4)en_US
dc.identifier.cristinIDFRIDAID 2224716
dc.identifier.doi10.1002/dad2.12516
dc.identifier.issn2352-8729
dc.identifier.urihttps://hdl.handle.net/10037/32486
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.journalAlzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0en_US
dc.rightsAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)en_US
dc.titleAn explainable machine learning model of cognitive decline derived from speechen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)