Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression-Reference-Cited by-同舟云学术

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

Published:2011-05 Issue:2 Volume:56 Page:809-813
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

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

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference15 articles.

1. Prognostic and diagnostic potential of the structural neuroanatomy of depression;Costafreda;PLoS One,2009

2. Neural correlates of sad faces predict clinical remission to cognitive behavioural therapy in depression;Costafreda;Neuroreport,2009

3. Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities;Davatzikos;Arch. Gen. Psychiatry,2005

4. Antidepressant treatment attenuates the neural response to sad faces in major depression: a prospective, event-related functional MRI study;Fu;Arch. Gen. Psychiatry,2004

5. Neural responses to happy facial expressions in major depression following antidepressant treatment;Fu;Am. J. Psychiatry,2007

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