A Review of Feature Reduction Techniques in Neuroimaging

Machine learning techniques are increasingly being used in making relevant predictions and inferences on individual subjects neuroimaging scan data. Previous studies have mostly focused on categorical discrimination of patients and matched healthy controls and more recently, on prediction of individ...

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Veröffentlicht in:	Neuroinformatics (Totowa, N.J.) Jg. 12; H. 2; S. 229 - 244
Hauptverfasser:	Mwangi, Benson, Tian, Tian Siva, Soares, Jair C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.04.2014 Springer Springer Nature B.V
Schlagworte:	Applied sciences Artificial Intelligence Bioinformatics Biological and medical sciences Biomedical and Life Sciences Biomedicine Brain - physiology Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer science; control theory; systems Data processing. List processing. Character string processing Exact sciences and technology Humans Investigative techniques, diagnostic techniques (general aspects) Learning and adaptive systems Medical sciences Memory organisation. Data processing Nervous system Neuroimaging - methods Neuroimaging - statistics & numerical data Neurology Neurosciences Pattern recognition. Digital image processing. Computational geometry Radiodiagnosis. Nmr imagery. Nmr spectrometry Review Software Statistics as Topic Dimensionality reduction Predictive Modeling Neuroimaging Feature selection Machine learning Multivariate Feature reduction Central nervous system Modeling Encephalon Multidimensional analysis Voxel Selection criterion Age Medical application Computer vision Data analysis Redundancy Inference Data reduction Dimension reduction Discrimination Medical imagery Tridimensional image Artificial intelligence
ISSN:	1539-2791, 1559-0089, 1559-0089
Online-Zugang:	Volltext
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