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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Hlavní autoři:	Harrison Fah, Linzy Bohn, Russell Greiner, Roger A. Dixon
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2025-03-01
Edice:	Frontiers in Aging Neuroscience
Témata:	Alzheimer’s disease Artificial Intelligence Canadian consortium on neurodegeneration in aging machine learning mild cognitive impairment eXplainable Artificial Intelligence
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fnagi.2025.1542514/full
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