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...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Harrison Fah, Linzy Bohn, Russell Greiner, Roger A. Dixon
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Frontiers Media S.A. 2025-03-01
Saila:	Frontiers in Aging Neuroscience
Gaiak:	Alzheimer’s disease Artificial Intelligence Canadian consortium on neurodegeneration in aging machine learning mild cognitive impairment eXplainable Artificial Intelligence
Sarrera elektronikoa:	https://www.frontiersin.org/articles/10.3389/fnagi.2025.1542514/full
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!