Machine Learning: A Primer for Child Psychiatrists

Journal of the American Academy of Child and Adolescent Psychiatry

Volumn 55, Issue 10, 2016, Pages 835-836

  Monuteaux, Michael C ^a   Stamoulis, Catherine ^a  

^a BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATTENTION DEFICIT DISORDER; BRAIN SIZE; CHILD PSYCHIATRY; CORTICAL THICKNESS (BRAIN); DIAGNOSTIC ACCURACY; EDITORIAL; ENVIRONMENTAL FACTOR; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENETICS; HUMAN; IMAGE ANALYSIS; MACHINE LEARNING; NEUROIMAGING; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; TREATMENT RESPONSE; CHILD; PSYCHIATRY;

CHILD; HUMANS; MACHINE LEARNING; PSYCHIATRY;

EID: 84990857368     PISSN: 08908567     EISSN: 15275418     Source Type: Journal    
DOI: 10.1016/j.jaac.2016.07.766     Document Type: Editorial

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