Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data

Engineering Applications of Artificial Intelligence

Volumn 39, Issue , 2015, Pages 198-214

  Smart, Otis ^a   Burrell, Lauren ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Epilepsy; Feature selection; fMRI; Frequent itemset mining; Genetic programming; iEEG

Indexed keywords

BIOMARKERS; FEATURE EXTRACTION; FUNCTIONAL NEUROIMAGING; GENETIC ALGORITHMS; GENETIC PROGRAMMING; HOSPITAL DATA PROCESSING; MAGNETIC RESONANCE IMAGING; NEUROLOGY; STOCHASTIC SYSTEMS;

EPILEPSY; EPILEPTIC SEIZURES; FMRI; FREQUENT ITEMSET MINING; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI) SIGNALS; IEEG; NEAREST NEIGHBOR CLASSIFICATION; STOCHASTIC PROPERTIES;

CLASSIFICATION (OF INFORMATION);

EID: 84921806191     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2014.12.008     Document Type: Article

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