Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects

Mild cognitive impairment (MCI) is a transitional stage between age-related cognitive decline and Alzheimer's disease (AD). For the effective treatment of AD, it would be important to identify MCI patients at high risk for conversion to AD. In this study, we present a novel magnetic resonance i...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2015-01, Vol.104, p.398-412
Hauptverfasser:	Moradi, Elaheh, Pepe, Antonietta, Gaser, Christian, Huttunen, Heikki, Tohka, Jussi
Format:	Artikel
Sprache:	eng
Schlagworte:	ADNI Age Aged Aged, 80 and over Aggregates Alzheimer Disease - pathology Alzheimer's disease Biomarkers Brain - pathology Classification Cognitive Dysfunction - pathology Conversion Databases, Factual Diagnosis Early diagnosis Feature selection Female Humans Image Interpretation, Computer-Assisted - methods Learning Low density separation Machine Learning Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Middle Aged Mild cognitive impairment NMR Nuclear magnetic resonance Patients Risk Factors Semi-supervised learning Studies Support vector machine
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