Recursive Cluster Elimination Based Support Vector Machine for Disease State Prediction Using Resting State Functional and Effective Brain Connectivity

@inproceedings{Deshpande2010RecursiveCE,
  title={Recursive Cluster Elimination Based Support Vector Machine for Disease State Prediction Using Resting State Functional and Effective Brain Connectivity},
  author={Gopikrishna Deshpande and Zhihao Li and P. Santhanam and Claire D Coles and Mary Ellen Lynch and Stephan Hamann and Xiaoping Hu},
  booktitle={PloS one},
  year={2010}
}
BACKGROUND Brain state classification has been accomplished using features such as voxel intensities, derived from functional magnetic resonance imaging (fMRI) data, as inputs to efficient classifiers such as support vector machines (SVM) and is based on the spatial localization model of brain function. With the advent of the connectionist model of brain function, features from brain networks may provide increased discriminatory power for brain state classification. METHODOLOGY/PRINCIPAL… CONTINUE READING
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