Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers

Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers

Abstract Introduction Models characterizing intermediate disease stages of Alzheimer's disease (AD) are needed to inform clinical care and prognosis. Current models, however, use only a small subset of available biomarkers, capturing only coarse changes along the complete spectrum of disease pr...

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Bibliographic Details
Main Authors: Devendra Goyal, Donna Tjandra, Raymond Q. Migrino, Bruno Giordani, Zeeshan Syed, Jenna Wiens, Alzheimer's Disease Neuroimaging Initiative
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Subjects:
Machine learning
Trajectory
Longitudinal
Staging
Biomarkers
Online Access:https://doi.org/10.1016/j.dadm.2018.06.007

Internet

https://doi.org/10.1016/j.dadm.2018.06.007

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