Automated annotation of functional imaging experiments via multi-label classification

Frontiers in Neuroscience

Volumn , Issue 7 DEC, 2013, Pages

  Turner, Matthew D ^a,b,c   Chakrabarti, Chayan ^a   Jones, Thomas B ^a   Xu, Jiawei F ^a   Fox, Peter T ^d   Luger, George F ^a   Laird, Angela R ^e   Turner, Jessica A ^b,c,f  

^a University of New Mexico   (United States)

^b MIND RESEARCH NETWORK   (United States)

^c Conjectural Systems ^*  (United States)

^d UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^e FLORIDA INTERNATIONAL UNIVERSITY   (United States)

^f GEORGIA STATE UNIVERSITY   (United States)

Author keywords

Annotations; Bioinformatics; CogPO; Data mining; Multi label classification; Neuroimaging; Text mining

Indexed keywords

ARTICLE; AUTISM; AUTOMATED ANNOTATION; AUTOMATION; BAYESIAN LEARNING; BINARY RELEVANCE; BIPOLAR DISORDER; CLASSIFICATION ALGORITHM; COGNITION; CONTROLLED STUDY; DATA ANALYSIS SOFTWARE; DATA MINING; FUNCTIONAL NEUROIMAGING; HUMAN; INFORMATION PROCESSING; K NEAREST NEIGHBOR; LABEL POWERSET; LEARNING ALGORITHM; MACHINE LEARNING; MAJOR DEPRESSION; MEDICAL ONTOLOGY; MEDICAL SUBJECT HEADINGS; MEDLINE; MENTAL DISEASE; MULTI LABEL CLASSIFICATION; SCHIZOPHRENIA; SEQUENTIAL MINIMAL OPTIMIZATION; SUPPORT VECTOR MACHINE; TEXT MINING;

EID: 84898032598     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2013.00240     Document Type: Article

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