Adapted variable precision rough set approach for EEG analysis

Artificial Intelligence in Medicine

Volumn 47, Issue 3, 2009, Pages 239-261

  Ningler, Michael ^a   Stockmanns, Gudrun ^b   Schneider, Gerhard ^a   Kochs, Hans Dieter ^b   Kochs, Eberhard ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

Anesthesia; Classification with decision rules; Electroencephalogram; Feature selection based on rough sets; Inconsistent data; Noisy data; Variable precision rough set model

Indexed keywords

ANESTHESIA; CLASSIFICATION WITH DECISION RULES; ELECTROENCEPHALOGRAM; FEATURE SELECTION BASED ON ROUGH SETS; INCONSISTENT DATA; NOISY DATA; VARIABLE PRECISION ROUGH SET MODEL;

ANESTHESIOLOGY; DATA REDUCTION; DECISION THEORY; ELECTROENCEPHALOGRAPHY; EVOLUTIONARY ALGORITHMS; FUZZY SETS; MEDICAL APPLICATIONS; OPTICAL SENSORS;

ROUGH SET THEORY;

ANESTHESIA; ARTICLE; CLASSIFICATION; CLINICAL STUDY; COMPUTER ANALYSIS; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; HUMAN; MACHINE LEARNING; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NOISE; PRIORITY JOURNAL; WAKEFULNESS;

ALGORITHMS; ANESTHESIA, GENERAL; ARTIFACTS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS, CLINICAL; ELECTROENCEPHALOGRAPHY; HUMANS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; UNCONSCIOUSNESS; WAKEFULNESS;

EID: 70350738361     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2009.07.004     Document Type: Article

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