A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment

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摘要

ObjectiveThe aim of this work is to provide a supervised method to assist the diagnosis and monitor the progression of the Alzheimer's disease (AD) using information which can be extracted from a functional magnetic resonance imaging (fMRI) experiment.

论文关键词：Random forests,Generalized linear model,Alzheimer's disease,Functional magnetic resonance imaging

论文评审过程：Received 18 December 2008, Revised 21 May 2011, Accepted 27 May 2011, Available online 23 June 2011.

论文官网地址：https://doi.org/10.1016/j.artmed.2011.05.005