Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review.

@article{Orr2012UsingSV,
  title={Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review.},
  author={Graziella Orr{\`u} and William Pettersson-Yeo and Andre Marquand and Giuseppe Sartori and Andrea Mechelli},
  journal={Neuroscience and biobehavioral reviews},
  year={2012},
  volume={36 4},
  pages={1140-52}
}
Standard univariate analysis of neuroimaging data has revealed a host of neuroanatomical and functional differences between healthy individuals and patients suffering a wide range of neurological and psychiatric disorders. Significant only at group level however these findings have had limited clinical translation, and recent attention has turned toward alternative forms of analysis, including Support-Vector-Machine (SVM). A type of machine learning, SVM allows categorisation of an individual's… CONTINUE READING
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