Attributed graph distance measure for automatic detection of attention deficit hyperactive disordered subjects

Frontiers in Neural Circuits

Volumn 8, Issue JUNE, 2014, Pages

  Dey, Soumyabrata ^a   Rao, Ravishankar ^b   Shah, Mubarak ^a  

^a University of Central Florida   (United States)

^b Data Science   (United States)

Author keywords

Attention deficit hyperactive disorder; Attributed graph; Functional magnetic resonance imaging; Multidimensional scaling; Support vector machine

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; ATTENTION DEFICIT DISORDER; AUTOMATION; CHILD; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAPH DISTANCE MEASUREMENT; HUMAN; MAJOR CLINICAL STUDY; MALE; MEASUREMENT; MULTIDIMENSIONAL SCALING; SCHOOL CHILD; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SUPPORT VECTOR MACHINE; YOUNG ADULT; ATTENTION; ATTENTION DEFICIT HYPERACTIVE DISORDER; ATTRIBUTED GRAPH; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY;

ATTENTION DEFICIT HYPERACTIVE DISORDER; ATTRIBUTED GRAPH; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MULTIDIMENSIONAL SCALING; SUPPORT VECTOR MACHINE;

ADULT; ATTENTION; ATTENTION DEFICIT DISORDER WITH HYPERACTIVITY; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; SUPPORT VECTOR MACHINES;

EID: 84902589544     PISSN: 16625110     EISSN: None     Source Type: Journal    
DOI: 10.3389/fncir.2014.00064     Document Type: Article

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