Comparing machine learning classifier models in discriminating cognitively unimpaired older adults from three clinical cohorts in the Alzheimer’s disease spectrum: demonstration analyses in the COMPASS-ND study

BackgroundResearch in aging, impairment, and Alzheimer’s disease (AD) often requires powerful computational models for discriminating between clinical cohorts and identifying early biomarkers and key risk or protective factors. Machine Learning (ML) approaches represent a diverse set of data-driven...

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Asıl Yazarlar:	Harrison Fah, Linzy Bohn, Russell Greiner, Roger A. Dixon
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Frontiers Media S.A. 2025-03-01
Seri Bilgileri:	Frontiers in Aging Neuroscience
Konular:	Alzheimer’s disease Artificial Intelligence Canadian consortium on neurodegeneration in aging machine learning mild cognitive impairment eXplainable Artificial Intelligence
Online Erişim:	https://www.frontiersin.org/articles/10.3389/fnagi.2025.1542514/full
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