Multi-Task Linear Programming Discriminant Analysis for the Identification of Progressive MCI Individuals

Accurately identifying mild cognitive impairment (MCI) individuals who will progress to Alzheimer's disease (AD) is very important for making early interventions. Many classification methods focus on integrating multiple imaging modalities such as magnetic resonance imaging (MRI) and fluorodeox...

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Veröffentlicht in:	PloS one Jg. 9; H. 5; S. e96458
Hauptverfasser:	Yu, Guan, Liu, Yufeng, Thung, Kim-Han, Shen, Dinggang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 12.05.2014 Public Library of Science (PLoS)
Schlagworte:	Aged Aged, 80 and over Algorithms Alzheimer Disease - diagnosis Alzheimer's disease Alzheimers disease Artificial intelligence Biology and Life Sciences Biomarkers Biomedical research Brain research Classification Cognitive ability Cognitive Dysfunction - diagnosis Computer and Information Sciences Constraining Discriminant Analysis Electronic mail systems Female Gene expression Humans Image classification Linear programming Magnetic resonance Magnetic Resonance Imaging Male Medical imaging Medicine and Health Sciences Metabolism Methods Missing data Neurodegenerative diseases Neuroimaging Neurology Neurosciences NMR Nuclear magnetic resonance Operations research Physical Sciences Positron emission Positron emission tomography Programming, Linear Tomography North Carolina United States > US
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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