A six stage approach for the diagnosis of the Alzheimer’s disease based on fMRI data

• Published in: Journal of biomedical informatics Vol. 43; no. 2; pp. 307 - 320
• Main Authors: Tripoliti, Evanthia E., Fotiadis, Dimitrios I., Argyropoulou, Maria, Manis, George
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.04.2010
• Subjects: Adolescent; Aged; Aged, 80 and over; Algorithms; Alzheimer Disease - classification; Alzheimer Disease - diagnosis; Alzheimer’s disease; Classification; Databases, Factual; Decision Trees; Disease Progression; Female; Functional magnetic resonance imaging; Humans; Linear Models; Magnetic Resonance Imaging - methods; Male; Random Forests; Reproducibility of Results; Support Vector Machines; Young Adult; Functional magnetic resonance imaging; Random Forests; Alzheimer’s disease; Support Vector Machines; Classification

The aim of this work is to present an automated method that assists in the diagnosis of Alzheimer’s disease and also supports the monitoring of the progression of the disease. The method is based on features extracted from the data acquired during an fMRI experiment. It consists of six stages: (a) p...