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Takayanagi Y, Takahashi T, Orikabe L, Mozue Y, Kawasaki Y, Nakamura K, Sato Y, Itokawa M, Yamasue H, Kasai K, Kurachi M, Okazaki Y, Suzuki M. Classification of first-episode schizophrenia patients and healthy subjects by automated MRI measures of regional brain volume and cortical thickness. PLoS One. 2011 Jan 1 ; 6(6):e21047. Pubmed Abstract

Comments on News and Primary Papers


Primary Papers: Classification of first-episode schizophrenia patients and healthy subjects by automated MRI measures of regional brain volume and cortical thickness.

Comment by:  Angus MacDonald, SRF Advisor
Submitted 11 July 2011
Posted 14 July 2011
  I recommend this paper

There are a few things we'll need to be careful about as we observe a Rise of the Machines (machine learning algorithms in this case): the sensitivity/specificity/positive predictive power/negative predictive power, and that the data generated on one scanner generalize to other scanners. The former will be the horserace that allows for comparison of these various pattern-based discriminant functions. (Keep in mind, interview-based diagnosis isn't perfect either.) The latter speaks to the deployability of these techniques for clinical applications.

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