Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm

Abstract We developed a novel computer-aided diagnosis (CAD) system that uses feature-ranking and a genetic algorithm to analyze structural magnetic resonance imaging data; using this system, we can predict conversion of mild cognitive impairment (MCI)-to-Alzheimer's disease (AD) at between one...

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Veröffentlicht in:	Computers in biology and medicine 2017-04, Vol.83, p.109-119
Hauptverfasser:	Beheshti, Iman, Demirel, Hasan, Matsuda, Hiroshi
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Aged, 80 and over Aging Algorithms Alzheimer Disease - diagnostic imaging Alzheimer Disease - etiology Alzheimer Disease - pathology Alzheimer's disease Atrophy Bioindicators Brain Brain - diagnostic imaging Brain - pathology CAD Classification Cognitive ability Cognitive Dysfunction - complications Cognitive Dysfunction - diagnostic imaging Cognitive Dysfunction - pathology Computed tomography Computer aided design Data reduction Datasets Dementia Dementia disorders Diagnosis Disease Disease Progression Drugs Early Diagnosis Emission measurements Feature ranking Female Genetic algorithm Genetic algorithms Homogeneity Humans Image Interpretation, Computer-Assisted - methods Impairment Internal Medicine Machine Learning Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Middle Aged Mild cognitive impairment conversion Morphometry Neurodegenerative diseases Neuroimaging Other Pattern Recognition, Automated - methods Principal components analysis Prognosis Quality of life Ranking Reproducibility of Results Resonance Sensitivity and Specificity Substantia grisea Support vector machines Tomography
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