The “Peeking” Effect in Supervised Feature Selection on Diffusion Tensor Imaging Data

REFERENCES

1. 1.↵
   1. Haller S,
   2. Missonnier P,
   3. Herrmann FR,
   4. et al

   . Individual classification of mild cognitive impairment subtypes by support vector machine analysis of white matter DTI. AJNR Am J Neuroradiol 2013;34:283–91

   Abstract/FREE Full Text
2. 2.↵
   1. Pereira F,
   2. Mitchell T,
   3. Botvinick M

   . Machine learning classifiers and fMRI: a tutorial overview. Neuroimage 2009;45(1 suppl):S199–209

   CrossRefPubMedWeb of Science
3. 3.↵
   1. Smialowski P,
   2. Frishman D,
   3. Kramer S

   . Pitfalls of supervised feature selection. Bioinformatics 2010;26:440–43

   FREE Full Text
4. 4.↵
   1. Diciotti S,
   2. Ginestroni A,
   3. Bessi V,
   4. et al

   . Identification of mild Alzheimer's disease through automated classification of structural MRI features. Conf Proc IEEE Eng Med Biol Soc 2012;2012:428–31

   PubMed