Identifying neuroanatomical signatures of anorexia nervosa: A multivariate machine learning approach

Psychological Medicine

Volumn 45, Issue 13, 2015, Pages 2805-2812

  Lavagnino, L ^a   Amianto, F ^b   Mwangi, B ^a   D'Agata, F ^b   Spalatro, A ^b   Zunta Soares, G B ^a   Abbate Daga, G ^b   Mortara, P ^b   Fassino, S ^b   Soares, J C ^a  

^a UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

^b AOU San Giovanni Battista Molinette   (Italy)

Author keywords

Anorexia; drive for thinness; machine learning; magnetic resonance imaging

Indexed keywords

ADOLESCENT; ADULT; ALGORITHM; ANOREXIA NERVOSA; BRAIN; CASE CONTROL STUDY; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; FEMALE; HUMAN; IMAGE PROCESSING; MACHINE LEARNING; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROBABILITY; PROCEDURES; SENSITIVITY AND SPECIFICITY; UTILIZATION; YOUNG ADULT;

ADOLESCENT; ADULT; ALGORITHMS; ANOREXIA NERVOSA; BRAIN; CASE-CONTROL STUDIES; DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; NEUROIMAGING; PROBABILITY; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84941261643     PISSN: 00332917     EISSN: 14698978     Source Type: Journal    
DOI: 10.1017/S0033291715000768     Document Type: Article

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