Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data.

Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data.

Computational models predicting symptomatic progression at the individual level can be highly beneficial for early intervention and treatment planning for Alzheimer's disease (AD). Individual prognosis is complicated by many factors including the definition of the prediction objective itself. I...

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Bibliographic Details
Main Authors: Nikhil Bhagwat, Joseph D Viviano, Aristotle N Voineskos, M Mallar Chakravarty, Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-09-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC6157905?pdf=render

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http://europepmc.org/articles/PMC6157905?pdf=render

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