Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression

NeuroImage

Volumn 56, Issue 2, 2011, Pages 809-813

  Nouretdinov, Ilia ^a,b   Costafreda, Sergi G ^a   Gammerman, Alexander ^b   Chervonenkis, Alexey ^b   Vovk, Vladimir ^b   Vapnik, Vladimir ^b   Fu, Cynthia H Y ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIDEPRESSANT AGENT; BIOLOGICAL MARKER;

ARTICLE; CLINICAL ARTICLE; COMPUTER PREDICTION; CONTROLLED STUDY; DEPRESSION; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INFORMATION PROCESSING; MACHINE LEARNING; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROGNOSIS; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; TRANSDUCTIVE CONFORMAL PREDICTOR; TREATMENT DURATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN MAPPING; DEPRESSION; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PROGNOSIS;

EID: 79954987179     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.05.023     Document Type: Article

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