Machine learning classification of resting state functional connectivity predicts smoking status

Frontiers in Human Neuroscience

Volumn 8, Issue JUNE, 2014, Pages

  Pariyadath, Vani ^a   Stein, Elliot A ^a   Ross, Thomas J ^a  

^a NATIONAL INSTITUTE ON DRUG ABUSE   (United States)

Author keywords

Biomarkers; fMRI; Machine learning; Nicotine addiction; Support vector machines

Indexed keywords

ADULT; ARTICLE; BRAIN REGION; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; EXECUTIVE FUNCTION; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEAD MOVEMENT; HUMAN; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; PREDICTIVE VALUE; RESTING STATE NETWORK; SMOKING; SUPPORT VECTOR MACHINE; TOBACCO DEPENDENCE;

EID: 84902595179     PISSN: None     EISSN: 16625161     Source Type: Journal    
DOI: 10.3389/fnhum.2014.00425     Document Type: Article

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