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...
Saved in:
Published in | Neuroinformatics (Totowa, N.J.) Vol. 5; no. 3; pp. 178 - 188 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
Springer Nature B.V
01.01.2007
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!