Clinical Diagnosis Based on Bayesian Classification of Functional Magnetic-Resonance Data

We describe a method for classifying subjects based on functional magnetic-resonance (fMR) data, using a method combining a Bayesian-network classifier with inverse-tree structure (BNCIT), and ensemble learning. The central challenge is to generate a classifier from a small sample of high-dimensiona...

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Bibliographic Details
Published inNeuroinformatics (Totowa, N.J.) Vol. 5; no. 3; pp. 178 - 188
Main Authors Chen, Rong, Herskovits, Edward H.
Format Journal Article
LanguageEnglish
Published United States Springer Nature B.V 01.01.2007
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