Parameter Selection in Mutual Information-Based Feature Selection in Automated Diagnosis of Multiple Epilepsies Using Scalp EEG

@article{Kerr2012ParameterSI,
  title={Parameter Selection in Mutual Information-Based Feature Selection in Automated Diagnosis of Multiple Epilepsies Using Scalp EEG},
  author={Wesley T. Kerr and Ariana E. Anderson and Hongjing Xia and Eric S. Braun and Edward P. Lau and Andrew Y. Cho and Mark S. Cohen},
  journal={2012 Second International Workshop on Pattern Recognition in NeuroImaging},
  year={2012},
  pages={45-48}
}
Developing EEG-based computer aided diagnostic (CAD) tools would allow identification of epilepsy in individuals who have experienced possible seizures, yet such an algorithm requires efficient identification of meaningful features out of potentially more than 35,000 features of EEG activity. Mutual information can be used to identify a subset of minimally-redundant and maximally relevant (mRMR) features but requires a priori selection of two parameters: the number of features of interest and… CONTINUE READING

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