Sparse regression models of pain perception

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6334 LNAI, Issue , 2010, Pages 212-223

  Rish, Irina ^a   Cecchi, Guillermo A ^a   Baliki, Marwan N ^b   Apkarian, A Vania ^b  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN ACTIVATION; BRAIN ACTIVITY; BRAIN AREAS; BRAIN MECHANISMS; CHRONIC PAIN; ELASTIC NET; FUNCTIONAL MRI (FMRI); INTERACTION PATTERN; LEAST SQUARE; PAIN PERCEPTION; PREDICTION ACCURACY; PREDICTIVE ACCURACY; PREDICTIVE MODELING; PREDICTIVE MODELS; REGRESSION MODEL; SPARSE REGRESSION; STATISTICAL ANALYSIS; TEMPORAL INFORMATION; TEMPORAL MODELS; UNIVARIATE; BRAIN ACTIVITY PATTERNS; ORDINARY LEAST SQUARES;

ACTIVATION ANALYSIS; BRAIN; HEALTH; INFORMATION SCIENCE; NEUROPHYSIOLOGY; REGRESSION ANALYSIS; CHEMICAL ACTIVATION;

BRAIN MODELS; REGRESSION ANALYSIS;

EID: 78249245401     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15314-3_20     Document Type: Conference Paper

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