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Volumn 93, Issue 1, 2014, Pages 162-166

Machine learning approach for classification of ADHD adults

Author keywords

ADHD; EEG power spectra; Karnaugh map; Support vector machines

Indexed keywords

ADULT; ARTICLE; ATTENTION DEFICIT DISORDER; CLASSIFIER; CONTINUOUS PERFORMANCE TEST; CONTROLLED STUDY; DISEASE CLASSIFICATION; DSM-IV; ELECTROENCEPHALOGRAM; ELECTROOCULOGRAM; EYE MOVEMENT CONTROL; FEMALE; HUMAN; INFORMATION SCIENCE; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; PATTERN RECOGNITION; POWER SPECTRUM; SUPPORT VECTOR MACHINE; ADOLESCENT; ALGORITHM; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; ELECTROENCEPHALOGRAPHY; MIDDLE AGED; PHYSIOLOGY; PSYCHOLOGICAL MODEL; PSYCHOLOGY; PSYCHOMOTOR PERFORMANCE; YOUNG ADULT;

EID: 84904752145     PISSN: 01678760     EISSN: 18727697     Source Type: Journal    
DOI: 10.1016/j.ijpsycho.2013.01.008     Document Type: Article
Times cited : (125)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.