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Advancing dementia identification using machine learning and real-world sequential health data.

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Title: Advancing dementia identification using machine learning and real-world sequential health data.
Authors: Gonzalez-Prieto C; School of Computer Science University of Auckland Auckland New Zealand., Yelanchezian M; Department of Psychological Medicine University of Auckland Auckland New Zealand.; Te Whatu Ora Counties Manukau South Auckland New Zealand., Dobbie G; School of Computer Science University of Auckland Auckland New Zealand., Wilson D; School of Computer Science University of Auckland Auckland New Zealand., Rivera-Rodriguez C; Department of Statistics University of Auckland Auckland New Zealand., Oulaghan B; Health Analytics Counties Manukau District, Health New Zealand Te Whatu Ora Auckland New Zealand., Yates S; Department of Psychological Medicine University of Auckland Auckland New Zealand., Cullum S; Department of Psychological Medicine University of Auckland Auckland New Zealand.; Te Whatu Ora Counties Manukau South Auckland New Zealand.; Global Brain Health Institute, Trinity College Dublin UK.
Source: Alzheimer's & dementia (Amsterdam, Netherlands) [Alzheimers Dement (Amst)] 2026 Apr 08; Vol. 18 (2), pp. e70332. Date of Electronic Publication: 2026 Apr 08 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Wiley on behalf of the Alzheimer's Association Country of Publication: United States NLM ID: 101654604 Publication Model: eCollection Cited Medium: Print ISSN: 2352-8729 (Print) Linking ISSN: 23528729 NLM ISO Abbreviation: Alzheimers Dement (Amst) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Advancing dementia identification using machine learning and real-world sequential health data.
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  Data: <searchLink fieldCode="AU" term="%22Gonzalez-Prieto+C%22">Gonzalez-Prieto C</searchLink>; School of Computer Science University of Auckland Auckland New Zealand.<br /><searchLink fieldCode="AU" term="%22Yelanchezian+M%22">Yelanchezian M</searchLink>; Department of Psychological Medicine University of Auckland Auckland New Zealand.; Te Whatu Ora Counties Manukau South Auckland New Zealand.<br /><searchLink fieldCode="AU" term="%22Dobbie+G%22">Dobbie G</searchLink>; School of Computer Science University of Auckland Auckland New Zealand.<br /><searchLink fieldCode="AU" term="%22Wilson+D%22">Wilson D</searchLink>; School of Computer Science University of Auckland Auckland New Zealand.<br /><searchLink fieldCode="AU" term="%22Rivera-Rodriguez+C%22">Rivera-Rodriguez C</searchLink>; Department of Statistics University of Auckland Auckland New Zealand.<br /><searchLink fieldCode="AU" term="%22Oulaghan+B%22">Oulaghan B</searchLink>; Health Analytics Counties Manukau District, Health New Zealand Te Whatu Ora Auckland New Zealand.<br /><searchLink fieldCode="AU" term="%22Yates+S%22">Yates S</searchLink>; Department of Psychological Medicine University of Auckland Auckland New Zealand.<br /><searchLink fieldCode="AU" term="%22Cullum+S%22">Cullum S</searchLink>; Department of Psychological Medicine University of Auckland Auckland New Zealand.; Te Whatu Ora Counties Manukau South Auckland New Zealand.; Global Brain Health Institute, Trinity College Dublin UK.
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  Data: <searchLink fieldCode="JN" term="%22101654604%22">Alzheimer's & dementia (Amsterdam, Netherlands)</searchLink> [Alzheimers Dement (Amst)] 2026 Apr 08; Vol. 18 (2), pp. e70332. <i>Date of Electronic Publication: </i>2026 Apr 08 (<i>Print Publication: </i>2026).
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        Value: 10.1002/dad2.70332
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              Text: 2026 Apr 08
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