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. |
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| 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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| ISSN: | 2352-8729 |
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| DOI: | 10.1002/dad2.70332 |
